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Wyświetlanie 1-50 z 1750
Tytuł:
The road to conscious machines: AI through failed ideas
Autorzy:
Krzanowski, Roman
Powiązania:
https://bibliotekanauki.pl/articles/1943050.pdf
Data publikacji:
2021-11-07
Wydawca:
Copernicus Center Press
Tematy:
artificial intelligence
history of artificial intelligence
artificial intelligence paradigms
future of artificial intelligence
Opis:
Presented here is a review of the book by Michael Wooldridge The Road to Conscious Machines: The Story of AI. The book was published in 2021 by Pelican Publishing Company. The book presents a philosophical exploration of the AI-related quest to understand the essence of our minds, ethics, and consciousness. Nonetheless, the book is unconventional as it focuses on failures of past AI programs rather than on AI success stories. The author also indicates the possible pathways to develop new, more efficient AI paradigms. The short technical section at the end of the book offers more in-depth information on topics like Prolog, Bayesian, and deep neural networks.
Źródło:
Zagadnienia Filozoficzne w Nauce; 2021, 70; 171-181
0867-8286
2451-0602
Pojawia się w:
Zagadnienia Filozoficzne w Nauce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Jeszcze raz o ucieleśnionej sztucznej inteligencji
Embodied artificial intelligence once again
Autorzy:
Sarosiek, Anna
Powiązania:
https://bibliotekanauki.pl/articles/690932.pdf
Data publikacji:
2017
Wydawca:
Copernicus Center Press
Tematy:
artificial intelligence
good old-fashioned artificial intelligence
embodied artificial intelligence
embodied mind
Opis:
Book review of: Vincent C. Müller (ed.), Fundamental issues of artificial intelligence, Springer International Publishing AG, 2016, pp. 570.
Recenzja książki: Vincent C. Müller (red.), Fundamental issues of artificial intelligence, Springer International Publishing AG, 2016, ss. 570.
Źródło:
Zagadnienia Filozoficzne w Nauce; 2017, 63; 231-240
0867-8286
2451-0602
Pojawia się w:
Zagadnienia Filozoficzne w Nauce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ways of optimization of breeding conditions of fish by using artificial spawning grounds
Autorzy:
Marenkov, Oleh
Fedonenko, Olena
Powiązania:
https://bibliotekanauki.pl/articles/1182952.pdf
Data publikacji:
2016
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
fish
spawning
artificial spawning ground
artificial reefs
spawning nests
Opis:
The monograph presents ways of optimization of the reproduction of fish fauna due to the use of artificial spawning nests. There is classification of fish by nature, terms and conditions of the spawning course. Spawning nests divided according to the nature of fish spawning. There is given characteristic with describing and depicting of spawning grounds designs. It is indicated what species of fish and in what waters they can be used and also the efficiency and cost of their creation, use and maintenance. The book is intended for specialists in the field of ichthyology, ecology, hydrobiology, fisheries, public organizations activists, students and graduate students of higher educational institutions in "Biology" and "Water Biological resources".
Źródło:
World Scientific News; 2016, 49, 1; 1-58
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research and applications of artificial neural networks in spatial analysis: Review
Autorzy:
Garczyńska, Ilona
Powiązania:
https://bibliotekanauki.pl/articles/29521035.pdf
Data publikacji:
2023
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
spatial analysis
GIS
artificial neural network
artificial intelligence
geosciences
Opis:
The conducted review presents the possibility of using artificial neural networks in sectors related to environmental protection, agriculture, forestry, land uses, groundwater and bathymetric. Today there is a lot of research in these areas with different research methodologies. The result is the improvement of decision-making processes, design, and prediction of certain events that, with appropriate intervention, can prevent severe consequences for society. The review shows the capabilities to optimize and automate the processes of modeling urban and land dynamics. It examines the forecasts of assessment of the damage caused by natural phenomena. Detection of environmental changes via the analysis of certain time intervals and classification of objects on the basis of different images is presented. The practical aspects of this work include the ability to choose the correct artificial neural network model depending on the complexity of the problem. This factor is a novel element since previously reviewed articles did not encounter a study of the correlation between the chosen model or algorithm, depending on the use case or area of the problem. This article seeks to outline the reason for the interest in artificial intelligence. Its purpose is to find answers to the following questions: How can artificial neural networks be used for spatial analysis? What does the implementation of detailed algorithms depend on? It is proved that an artificial intelligence approach can be an effective and powerful tool in various domains where spatial aspects are important.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2023, 74 (146); 35-45
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence: opportunities and concerns in the era of Big Data. Ethical and practical issues with decision-making and Generative AI in the era of ChatGPT
Sztuczna inteligencja: możliwości i obawy w erze Big Data. Etyczne i praktyczne kwestie związane z podejmowaniem decyzji i generatywną sztuczną inteligencją w erze ChatGPT
Autorzy:
Varvarà, Giulia
Powiązania:
https://bibliotekanauki.pl/articles/32388079.pdf
Data publikacji:
2023
Wydawca:
Fundacja PSC
Tematy:
Artificial intelligence
Ethics
Generative artificial intelligence
Data-driven decisions
Opis:
Artificial Intelligence has made impressive progress in the past few decades, and, especially in the last couple of years, so many different systems able to simulate human response in a very realistic and coherent way have been made available to the general public. This has opened the road to new possibilities for the use of AI in a variety of contexts, starting from the use of generative AI to the shortening of otherwise long working tasks (such as programming). However, it also created unforeseen issues that have yet to be addressed, since there is a lack of legal and ethical guidelines for the use of these new AI tools. This article analyses some of the most controversial applications of these new AI systems, highlighting both problems and ethical concerns, as well as the possible ways in which they can be dealt with in the future.
Źródło:
Alcumena. Pismo Interdyscyplinarne; 2023, 2(14); 85-100
2719-9851
Pojawia się w:
Alcumena. Pismo Interdyscyplinarne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Świat pod lupą fenomenologa
The world under the microscope of a phenomenologist
Autorzy:
Psica, Sylwia
Powiązania:
https://bibliotekanauki.pl/articles/690930.pdf
Data publikacji:
2017
Wydawca:
Copernicus Center Press
Tematy:
phenomenology
artificial intelligence
Opis:
Book review of: Aleksandra K. Przegalińska, Istoty wirtualne. Jak fenomenologia zmieniła sztuczną inteligencję, Wydawnictwo Universitas, Kraków 2016, ss. 268.
Recenzja książki: Aleksandra K. Przegalińska, Istoty wirtualne. Jak fenomenologia zmieniła sztuczną inteligencję, Wydawnictwo Universitas, Kraków 2016, ss. 268.
Źródło:
Zagadnienia Filozoficzne w Nauce; 2017, 63; 241-248
0867-8286
2451-0602
Pojawia się w:
Zagadnienia Filozoficzne w Nauce
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Potential and use of the googlenet ann for the purposes of inland water ships classification
Autorzy:
Bobkowska, Katarzyna
Bodus-Olkowska, Izabela
Powiązania:
https://bibliotekanauki.pl/articles/1573774.pdf
Data publikacji:
2020
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
ship classification
image classification
geoinformatics
artificial intelligence
artificial neural network
Opis:
This article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and Identification (SHREC) project. The image repository for the training purposes consists about 6,000 images of different categories of the vessels. Some images were gathered from internet websites, and some were collected by the project’s video cameras. The GoogLeNet network was trained and tested using 11 variants. These variants assumed modifications of image sets representing (e.g., change in the number of classes, change of class types, initial reconstruction of images, removal of images of insufficient quality). The final result of the classification quality was 83.6%. The newly obtained neural network can be an extension and a component of a comprehensive geoinformatics system for vessel recognition.
Źródło:
Polish Maritime Research; 2020, 4; 170-178
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The survey of soft computing techniques for reliability prediction
Autorzy:
Smoczek, J.
Powiązania:
https://bibliotekanauki.pl/articles/246835.pdf
Data publikacji:
2012
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
reliability prediction
artificial intelligence
fuzzy logic
artificial neural network
genetic algorithm
Opis:
The objective of reliability prediction is to estimate a time of upcoming nonoperational state at the current operational state of a system through real-time monitoring operational parameters and/or performances. Hence, the predictive (proactive) maintenance in industrial systems involves operational conditions monitoring and online forecasting the useful life of machines equipment to support the decision-making process in selection of the best maintenance action to be carried out. The advanced warning of the failure possibility can bring the attention of machines operators and maintenance personnel to impending danger, and facilitate planning preventive and corrective operations, as well as inventory managing. This problem has been extensively studied in many scientific works, where the predictive models are based on the data-driven approaches that can be generally divided into statistical techniques (regression, ARMA models, Bayesian probability distribution estimation, etc.), grey system theory, and soft computing methods. The artificial intelligence is frequently addressed to the predictive problem by utilizing the learning capability of artificial neural network (ANN), and possibility of nonlinear mapping using fuzzy rules-based system (FRBS) or recognizing and optimizing data-derived pattern by using evolutionary algorithms. The paper is a survey of intelligent methods for failure prediction, and delivers the review of examples of scientific works presenting the computational intelligence-based approaches to predictive problem.
Źródło:
Journal of KONES; 2012, 19, 3; 407-414
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Selecting Generators for Creating Real Valued Detectors in Ship Immune System
Autorzy:
Praczyk, T.
Powiązania:
https://bibliotekanauki.pl/articles/320829.pdf
Data publikacji:
2010
Wydawca:
Polskie Forum Nawigacyjne
Tematy:
identification
artificial immune system
Opis:
The task of the ship immune system is to differentiate self objects, i.e. objects that are not dangerous to our ship, from other objects that can be a potential threat. To perform the task the system makes use of a set of detectors. The detectors imitate signatures of non-self objects and they are generated at random. In order for the detectors to be able to effectively perform their task they have to be constructed in appropriate way. Since, random generators are used to form detectors the problem is to select a generator producing the most effective detectors. In order to select an appropriate generator, experiments were carried out. In the experiments, the task of the ship immune system was to differentiate self and non-self ship radio stations. Results of the experiments are presented at the end of the paper.
Źródło:
Annual of Navigation; 2010, 16; 99-108
1640-8632
Pojawia się w:
Annual of Navigation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mobile robot navigation with the use of semantic map constructed from 3D laser range scans
Autorzy:
Siemiątkowska, B.
Szklarski, J.
Gnatowski, M.
Powiązania:
https://bibliotekanauki.pl/articles/206413.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
artificial intelligence
robotics
mapping
Opis:
We describe a system allowing a mobile robot equipped with a 3D laser range finder to navigate in the indoor and outdoor environment. A global map of the environment is constructed, and the particle filter algorithm is used in order to accurately determine the position of the robot. Based on data from the laser only, the robot is able to recognize certain classes of objects like a floor, a door, a washbasin, or a wastebasket, and places like corridors or rooms. For complex objects, the recognition process is based on the Haar feature identification. When an object is detected and identified, its position is associated with the appropriate place in the global map, making it possible to give orders to the robot with the use of semantic labels, e.g., "go to the nearest wastebasket ". The obstaclefree path is generated using a Cellular Neural Network, accounting for travel costs with distance or ground quality. This path planning method is fast and in comparison with the potential field method it does not suffer from the local minima problem. We present some results of experiments performed in a real indoor environment.
Źródło:
Control and Cybernetics; 2011, 40, 2; 437-453
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial Intelligence in science and everyday life, its application and development prospects
Autorzy:
Słapczyński, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/19233635.pdf
Data publikacji:
2022-12-30
Wydawca:
Wyższa Szkoła Finansów i Prawa w Bielsku-Białej
Tematy:
Artificial Intelligence application
Rules of Artificial Intelligence
Artificial Intelligence programming
AI in business
AI in law
AI in Politics
Opis:
The main purpose of the article is to determine the impact of artificial intelligence on society and industry. What role the development of this technology will play on the economy and society in the future. The question should be asked: how will artificial intelligence affect society and what will be the effects of its increasingly widespread use and whether it poses any threats. The main methods used in the article are the analysis of scientific literature, synthesis of collected facts and knowledge obtained from official data, e.g. documentation of programming languages. The main conclusions from the paper is the growing importance of AI for society and its development, which will affect into various areas of life.
Źródło:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej; 2022, 26, 4; 78-85
2543-9103
2543-411X
Pojawia się w:
Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
From immunology to modeling, processing and analysis of data
Od immunologii do modelowania, przetwarzania i analiz danych
Autorzy:
Lasek, Mirosława
Lasek, Witold
Pęczkowski, Marek
Powiązania:
https://bibliotekanauki.pl/articles/432071.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
immunology
immunocomputing
artificial immune system
algorithms of artificial immune systems
representation of the elements of biological systems in artificial immune systems
the use of artificial immune algorithms in practice
Opis:
Observation of nature is often the inspiration for unconventional and innovative ideas, proposals, suggestions, overall concepts for carrying out modeling phenomena and technical processes, economic, processing and analysis of statistical data. Artificial neural networks, genetic algorithms and evolutionary algorithms were created as an imitation of biological solutions. In recent years, the rapid development of immunological algorithms which are based on the action of the human immune system, has occurred. These algorithms are used in mathematics, engineering, problem solving in decision making, management, economics, finance. At the beginning of this article we describe the action of the human immune system, which is the basis for the construction of immune algorithms. Then we present the most important mechanisms influencing the operation and construction of the algorithms based on biological mechanisms of the immune system, in particular the negative selection, immune network, clonal selection. Then we describe how the elements and mechanisms of artificial immune system algorithms are represented to enable modeling, processing and analysis of data. In the last part of the article to illustrate the wide range of possibilities of using immune algorithms to solve various sorts of problems from a completely different fields, we present examples of applications that involve the assessment of bank borrowers, the task of coloring a graph belonging to combinatorial optimization problems, a multi-dimensional classification, fault detection.
Źródło:
Informatyka Ekonomiczna; 2013, 4(30); 196-225
1507-3858
Pojawia się w:
Informatyka Ekonomiczna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Las alternativas para una tributación de la robótica
The alternatives for a robotics taxation
Autorzy:
Parada, Luis Miguel Muleiro
Powiązania:
https://bibliotekanauki.pl/articles/2158865.pdf
Data publikacji:
2022
Wydawca:
Krakowska Akademia im. Andrzeja Frycza Modrzewskiego
Tematy:
inteligencia artificial
tributos
justicia
simplificación
artificial intelligence
robots
taxes
tax justice
tax simplification
Opis:
A estas alturas del siglo XXI parece deseable reflexionar desde el rigor científico sobre las posibilidades reales de incidir con técnicas impositivas que hagan contribuir específicamente a la robótica sin distorsionar ni complicar más todavía el sistema tributario. Una sociedad progresivamente robotizada en el entorno global digitalizado requiere plantearse la posibilidad de un gravamen en el marco de la inteligencia artificial aplicada. En los últimos años, diferentes voces han defendido la necesidad de alcanzar un tratamiento jurídico acorde a la nueva realidad en la que el imparable avance de la robótica está abriendo paso a una verdadera transformación social. En el ámbito tributario se han proyectado diversas alternativas, desde la posibilidad de regular un tributo referido al trabajo ejecutado por robots hasta exigir un gravamen específico o adicional por el uso y mantenimiento de los mismos. Pese a que las alternativas son bien diferentes la justicia tributaria debe mantenerse como prisma básico de evaluación.
In recent years different voices have defended the necessity to achieve a legal treatment according to the new reality, given that, the relentless advance of robotics is paving its path to a profound social transformation. A society, which is progressively automated in the digitised global environment, requires to formulate the possibility of a taxation within the applied artificial intelligence framework. Several alternatives have been proposed under the tax environment, from regulating a tax referred to the task executed by robots until demanding a specific or additional taxation on account of their use and maintenance. A priori, the alternatives are numerous but these required to be assessed from the perspective regarding the minimum determinants of the tax justice. In this paper, we will analyse what challenges the taxation deals, considering the necessary postulates that impose the fundamental guidelines of the tax order. The material principles of justice are reinterpreted in their content by their own digital revolution. These notions must clearly report the design of any suggestion and respect satisfactorily the configuration of the essential elements of a tax. At this stage in the 21st century, it seems desirable to reflect from the scientific rigour on the real possibilities of influencing by means of using tax techniques. These techniques could specifically contribute to robotics, but without distorting and complicating further the taxation system.
Źródło:
Studia Prawnicze: rozprawy i materiały; 2022, (30), 1; 105-115
1689-8052
2451-0807
Pojawia się w:
Studia Prawnicze: rozprawy i materiały
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Acciones para combatir el impacto del crimen en el ciberespacio. Prevención y detección con la Inteligencia Artificial
Actions to combat the impact of crime in cyberspace. Prevention and detection with Artificial Intelligence
Autorzy:
Guzmán, Silvia Irene Verdugo
Casteleiro, Ana Ochoa
Powiązania:
https://bibliotekanauki.pl/articles/2158851.pdf
Data publikacji:
2022
Wydawca:
Krakowska Akademia im. Andrzeja Frycza Modrzewskiego
Tematy:
artificial intelligence
darknet
cibercrime
hacker
cibersecurity
inteligencia artificial
internet oscura
cibercrimen
ciberdelincuente
ciberseguridad
Opis:
Los últimos dos siglos hemos visto nuevos tipos de delitos que han pasado a un primer plano, y que los delitos tradicionales han adoptado diferentes formas o un alcance completamente nuevo, especialmente digital. La especificidad de distintos ciberdelitos se encuentra en la internet profunda o Darknet, tales como el fraude informático, los ataques informáticos, abuso sexual y la explotación sexual de niños a través de sistemas informáticos etc. La aparición del nuevo coronavirus SARS-CoV-2 a fines del 2019 y la pandemia declarada por COVID-19 causada por el virus a comienzos del 2020, han servido para subrayar la importancia del combate al cibercrimen. La denuncia e investigación de delitos es crucial para las unidades policiales y las partes interesadas en la comprensión y análisis del ciberdelito. Entonces, gracias al desarrollo de la Inteligencia Artificial (I.A) y la recopilación de datos estadísticos son utilizados para realizar evaluaciones de delitos, castigos o sanciones, e identificar a las personas investigadas o perseguidas. La construcción de la cooperación en I.A con las partes interesadas en todo el sector público, la industria, la academia, así como las entidades de seguridad relacionadas, agencias de inteligencia etc., es un próximo paso esencial. También, cabe referirse a la ciberseguridad, que juega un papel importante en la defensa de las personas, de empresas e infraestructuras. Los proveedores de seguridad digital se enfocan en usuarios, dispositivos, redes, datos, aplicaciones o empresas para brindar soluciones con el fin de detectar y responder ante una amenaza cibernética.
Over the past two centuries, we have seen emerging types of crimes coming to the fore and traditional crimes taking on different forms or an entirely new scope altogether. Specificity of various cybercrimes are on the darknet, how computer fraud, computer attacks, the sexual abuse and sexual explotation of children through computer systems, etc. The emergence of the novel SARS-CoV-2 coronavirus in late 2019 and the ongoing COVID-19 pandemic caused by the virus on 2020, has served to underscore the importance of combat to cibercrime. The reporting and research of crimes is crucial for police units and stakeholders in understanding and analysis cybercrime. So, the I.A and collection of stadistical data information are used to evaluations of crime, punishments or sanctions and identifying the people investigated or persecuted. Building cooperation on I.A with stakeholders throughout the public sector, industry, academia, as well as related security entities, intelligence agencies and so on, is an essential next step. Also, the cybersecurity plays an important role in defending individuals, industry and infrastructure. Security vendors focus on users, network, data, application or entire enterprises to provide solutions to detect and respond to cyber threats.
Źródło:
Studia Prawnicze: rozprawy i materiały; 2022, (30), 1; 15-24
1689-8052
2451-0807
Pojawia się w:
Studia Prawnicze: rozprawy i materiały
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The study of colour changes under artificial weathering of light red meranti and yellow balau wood from Shorea genus
Autorzy:
Jankowska, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/2200139.pdf
Data publikacji:
2020
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:
artificial aging
artificial weathering
light red meranti
yellow balau
tropical wood
colour stability
Opis:
The study of colour changes under artificial weathering of light red meranti and yellow balau wood from Shorea genus. This paper deals with the change in colour of selected tropical wood species from Shorea genus such as light red meranti and yellow balau. The artificial weathering method was used to determine the colour stability of wood surface. The used ageing method consisted of alternating soaking wood in water, drying at a temperature of 70°C and UV irradiation exposure. The colour changes were evaluated using CIE L*C*h system. Changes of particular colour parameters (lightness L*, chroma C*, hue h) were determine as well as the total colour change ΔE*. The results showed that tested species of wood change their colour similarly under the influence of the artificial weathering (the changes in the tested wood appearance occurred in similar scope). Surfaces of tested wood species initially became darker and then lighter. The largest changes in intensity of the colour of wood took place at the beginning of artificial weathering process. The intensity of changes decreased with the progress of aging process.
Badanie zmian barwy drewna meranti różowego i balau jasnego z rodzaju Shorea. Niniejszy artykuł dotyczy zmiany barwy dwóch gatunków drewna tropikalnego z rodzaju Shorea, takich jak meranti różowego i balau jasnego. Do określenia stabilności barwy powierzchni drewna zastosowano metodę sztucznego starzenia, która polegała na naprzemiennym moczeniu drewna w wodzie, suszeniu w temperaturze 70°C i ekspozycji na promieniowanie UV. Przeprowadzono 60 cykli sztucznego starzenia. Zmiany barwy oceniono za pomocą systemu CIE L*C*h. Określono zmiany poszczególnych parametrów barwy (jasność L*, barwa C*, odcień h), a także całkowitą zmianę barwy ΔE*. Wyniki przeprowadzonych badań pozwalają na stwierdzenie, że barwa badanego drewna zmienia się podobnie (zmiany występowały w podobnym zakresie). Powierzchnie badanych gatunków drewna początkowo stały się ciemniejsze, a następnie jaśniejsze. Największe zmiany w intensywności barwy drewna miały miejsce na początku procesu sztucznego starzenia. W trakcie jego trwania intensywność zmian malała.
Źródło:
Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology; 2020, 111; 37--42
1898-5912
Pojawia się w:
Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of data mining techniques to predict and map the Atterberg limits in central plateau of Iran
Autorzy:
Amin, Peyman
Taghizadeh-Mehrjardi, Ruhollah
Akbarzadeh, Ali
Shirmardi, Mostafa
Powiązania:
https://bibliotekanauki.pl/articles/762833.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
Atterberg limits, artificial bee colony, artificial neural networks, support vector machine, regression tree
Opis:
The Atterberg limits display soil mechanical behavior and, therefore, can be so important for topics related to soil management. The aim of the research was to investigate the spatial variability of the Atterberg limits using three most common digital soil-mapping techniques, the pool of easy-to-obtain environmental variables and 85 soil samples in central Iran. The results showed that the maximum amount of liquid limit (LL) and plastic limit (PL) were obtained in the central, eastern and southeastern parts of the study area where the soil textural classes were loam and clay loam. The minimum amount of LL and PL were related to the northwestern parts of the study area, adjacent to the mountain regions, where the samples had high levels of sand content (>80%). The ranges of plasticity index (PI) in the study area were obtained between 0.01 to 4%. According to the leave-in-out cross-validation method, it should be highlighted the combination of artifiial bee colony algorithm (ABC) and artifiial neural network (ANN) techniques were the best model to predict the Atterberg limits in the study area, compared to the support vector machine and regression tree model. For instance, ABC-ANN could predict PI with RMSE, R2 and ME of 0.23, 0.91 and -0.03, respectively. Our fiding generally indicated that the proposed method can explain the most of variations of the Atterberg limits in the study area, and it could berecommended, therefore, as an indirect approach to assess soil mechanical properties in the arid regions, where the soil survey/sampling is difficult to undertake.
Źródło:
Polish Journal of Soil Science; 2018, 51, 2
0079-2985
Pojawia się w:
Polish Journal of Soil Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wykorzystanie techniki AdaBoost w modelach opartych na regresji z wykorzystaniem sztucznej inteligencji
Use of AdaBoost technique in regression based models using artificial intelligence
Autorzy:
Wołoszyn, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/445996.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Rzeszowski
Tematy:
AdaBoost
sztuczna inteligencja
artificial intelligence
Opis:
Artykuł opisuje wykorzystanie sztucznej inteligencji w obliczeniach regresyjnych. Modele zbudowane w sposób tradycyjny oparte na klasycznych założeniach dostarczają możliwie precy-zyjnych informacji. Sam proces budowy modelu opiera się na wstępnym wyborze zmiennych wykorzystanych do jego tworzenia. Umiejętna selekcja zmiennych ma istotny wpływ na uzyskane parametry. Wykorzystując rozwiązanie przedstawione w tej pracy otrzymujemy model ze wstępnie dobranym optymalnym zbiorem treningowym. W kolejnych rozdziałach omówiono istotę analityki predykcyjnej, proces uczenia maszyno-wego, budowę drzewa decyzyjnego, pokazano przykład regresji wykorzystującego AdaBoost.
This article describes the use of artificial intelligence in regression calculations. Models built in a traditional manner based on classical assumptions provide the most precise information possi-ble. The model building process itself is based on the initial selection of variables used to create it. Skillful selection of variables has a significant impact on the obtained parameters. Using the solu-tion presented in this work, we get a model with a pre-selected optimal training set. The following chapters discuss the essence of predictive analytics, the machine learning pro-cess, the construction of a decision tree, an example of regression using AdaBoost.
Źródło:
Dydaktyka informatyki; 2019, 14; 162-169
2083-3156
Pojawia się w:
Dydaktyka informatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parallel implementation of neural networks with the use of GPGPU technology OpenCL
Autorzy:
Kłyś, M.
Szymczyk, M.
Szymczyk, P.
Gajer, M.
Powiązania:
https://bibliotekanauki.pl/articles/114679.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
OpenCL
Artificial Neural Networks
GPGPU
Opis:
The article discusses possibilities of implementing a neural network in a parallel way. The issues of implementation are illustrated with the example of the non-linear neural network. Parallel implementation of earlier mentioned neural network is written with the use of OpenCL library, which is a representative of software supporting general-purpose computing on graphics processor units (GPGPU). The obtained results demonstrate that some group of algorithms can be computed faster if they are implemented in a parallel way and run on a multi-core processor (CPU) or a graphics processing unit (GPU). In case of the GPU, the implemented algorithm should be divided into many threads in order to perform computations faster than on a multi-core CPU. In general, computations on a GPU should be performed when there is a need to process a large amount of data with the use of algorithm which is very well suited to parallel implementation.
Źródło:
Measurement Automation Monitoring; 2015, 61, 1; 16-20
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Advanced rehabilitation device based on artificial muscle actuators with neural network implementation
Autorzy:
Židek, K.
Líška, O.
Maxim, V.
Powiązania:
https://bibliotekanauki.pl/articles/384345.pdf
Data publikacji:
2012
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
rehabilitation
automation
artificial muscle
control
Opis:
In this paper the rehabilitation device for upper arm based on artificial muscles is introduced. Presented automated rehabilitation device has three degrees of freedom: 2 DOF in arm and 1 DOF in elbow that provides almost all basic rehabilitation exercises. Artificial pneumatics muscles will be tested in connection with spring and antagonistic connection. This system provides lifting and falling of arm construction based on patient force. There is possibility to generate help force during rehabilitation or opposite load. Artificial muscles are controlled by pneumatic valves terminal from micro computer based on MCU. Higher level control system provides artificial intelligence implementation based on neural network for prediction and change of load according sensor values history (incremental sensor, pressure sensor). For prototype testing there is described usability of industrial robot to test precision of load and trajectories during rehabilitation. This automatic rehabilitation device will help to reduce therapeutics work with patient, automate and improve rehabilitation process.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2012, 6, 3; 30-32
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The development of Kalman Filter learning technique for Artificial Neural Networks
Autorzy:
Krok, A.
Powiązania:
https://bibliotekanauki.pl/articles/308081.pdf
Data publikacji:
2013
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
Artificial Neural Networks
Kalman filter
Opis:
The paper presents an idea of using the Kalman Filtering (KF) for learning the Artificial Neural Networks (ANN). It is shown that KF can be fully competitive or more beneficial method with comparison standard Artificial Neural Networks learning techniques. The development of the method is presented respecting selective learning of chosen part of ANN. Another issue presented in this paper is the author’s concept of automatic selection of architecture of ANN learned by means of KF based on removing unnecessary connection inside the network. The effectiveness of presented ideas is illustrated on the examples of time series modeling and prediction. Considered data came from the experiments and situ measurements in the field of structural mechanics and materials.
Źródło:
Journal of Telecommunications and Information Technology; 2013, 4; 16-21
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integration of product design and manufacturing with the use of artificial intelligent methods
Autorzy:
Kutschenreiter-Praszkiewicz, I.
Powiązania:
https://bibliotekanauki.pl/articles/99801.pdf
Data publikacji:
2011
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
product design
manufacturing
artificial intelligence
Opis:
Product and process design is time- and cost consuming [15]. To reduce the cost of product development, it is necessary to integrate product and process design. The proposed product planning approach integrates activities involved in product design and manufacturing process. The aim of this paper is to develop a method of knowledge integration about customer needs, product and process characteristics. The range of analyses is limited to mechanical product type manufacturing for institutional customers. Customer needs are focused on functional characteristics of the product and the trade characteristics include product price, timing and warranty. Integration of functional requirements, product and process characteristics is needed to select the best product from a catalogue and adapt it to particular customer needs. From the given set of products, where a product is described by a set of attributes, the subset is chosen which roughly satisfies customer needs. Basing on artificial intelligent (AI) methods, data related to redesign and production processes is estimated.
Źródło:
Journal of Machine Engineering; 2011, 11, No. 1-2; 46-53
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A survey on multi-agent based collaborative intrusion detection systems
Autorzy:
Bougueroua, Nassima
Mazouzi, Smaine
Belaoued, Mohamed
Seddari, Noureddine
Derhab, Abdelouahid
Bouras, Abdelghani
Powiązania:
https://bibliotekanauki.pl/articles/2031138.pdf
Data publikacji:
2021
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
IDS
CIDS
MAS
artificial Intelligence
Opis:
Multi-Agent Systems (MAS) have been widely used in many areas like modeling and simulation of complex phenomena, and distributed problem solving. Likewise, MAS have been used in cyber-security, to build more efficient Intrusion Detection Systems (IDS), namely Collaborative Intrusion Detection Systems (CIDS). This work presents a taxonomy for classifying the methods used to design intrusion detection systems, and how such methods were used alongside with MAS in order to build IDS that are deployed in distributed environments, resulting in the emergence of CIDS. The proposed taxonomy, consists of three parts: 1) general architecture of CIDS, 2) the used agent technology, and 3) decision techniques, in which used technologies are presented. The proposed taxonomy reviews and classifies the most relevant works in this topic and highlights open research issues in view of recent and emerging threats. Thus, this work provides a good insight regarding past, current, and future solutions for CIDS, and helps both researchers and professionals design more effective solutions.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 2; 111-142
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evidence from Artificial Intelligence in General Administrative Procedure
Autorzy:
Dubiński, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/28672992.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
artificial intelligence
evidence
administrative procedure
Opis:
Artificial intelligence is becoming an element of everyday life, and also a part of administrative proceedings. The legislator systematically adds regulations that allow public administration bodies to use artificial intelligence. At the same time, the Code of Administrative Procedure has not been amended in this respect. The article tries to establish what artificial intelligence evidence is. In addition, the issue of whether the rules on administrative evidence should be changed to cover the use of AI evidence is examined.
Źródło:
Adam Mickiewicz University Law Review; 2022, 14; 251-280
2450-0976
Pojawia się w:
Adam Mickiewicz University Law Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The design of an insulin pump concept of closing the loop
Autorzy:
Hawłas, H.
Lewenstein, K.
Powiązania:
https://bibliotekanauki.pl/articles/385242.pdf
Data publikacji:
2009
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
insulin pump
diabetes
artificial pancreas
Opis:
This paper explains what insulin pump is and outlines basic requirements for such device. The material presented in this paper is an attempt to collect actual knowledge about closed loop insulin delivery systems. From scientific point of view we are going to propose the closed loop insulin-dispensing device with control built on the base of predictive neural network system. The blocks of such systems are listed, and main problems to overcome are defined.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2009, 3, 4; 195-198
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Change Happens
Autorzy:
Abeles, Tom P.
Powiązania:
https://bibliotekanauki.pl/articles/426031.pdf
Data publikacji:
2017
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
change
artificial intelligent system
technology
Źródło:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2017, 1 (68); 67-70
1731-6758
1731-7428
Pojawia się w:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The identification of model parameters for a semi-empirical model of working process in the compression-ignition engine
Autorzy:
Brzozowski, K.
Nowakowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/243901.pdf
Data publikacji:
2010
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
modelling
working cycle
artificial intelligence
Opis:
The paper concerns the identification process applied for a semi-empirical model of working process in the CI engine. The identification is based on pressure courses in the cylinder recorded during the experimental measurements on the test stand and is performed for estimation of values of the model parameters. Appropriate estimated values of the model parameters ensure minimization of the difference between measured and modelled pressure courses in the cylinder. The identification process can be divided into two stages. The first stage concerns identification of discrete values of the model parameters for a set of discrete engine operating conditions. The task of discrete identification is formulated as a dynamic optimisation task which is sohed using a genetic algorithm. The accuracy of the identification process is evaluated by comparison of measured and calculated values of main parameters which characterize the working cycle such as: the mean indicated pressure, thermal efficiency, the mean indicated pressure in working part of the cycle, maximal pressure of the cycle, the mass of the medium in the cylinder and the crankshaft angle for which the maximal pressure occurred. The second stage concerns generalization of the results for any technically possible engine operating conditions which is sohed by means of approximation. Feed-forward multilayer artificial neural networks are usedfor the approximation. The accuracy of the identification and some examples of verification of the model predictions are presented as well.
Źródło:
Journal of KONES; 2010, 17, 3; 41-48
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Some effect of the unbalanced development of human intelligence: from trans-monkeys to trans-humans
Pewien skutek niezrównoważonego rozwoju ludzkiej inteligencji: od transmałp do transludzi
Autorzy:
Sztumski, Wiesław
Powiązania:
https://bibliotekanauki.pl/articles/2081649.pdf
Data publikacji:
2021-09-22
Wydawca:
Państwowa Wyższa Szkoła Zawodowa w Raciborzu
Tematy:
artificial intelligence
transhuman
transhumanity
posthuman
Opis:
The article is devoted to the effects of the unsustainable development of human intelligence that began with the emergence of artificial intelligence do by the imbalance between the slow pace of development of natural (biological) intelligence and the accelerate pace of development of artificial (machine) intelligence. First, in a breakthrough phase of the anthropogenesis process, the development of natural intelligence transformed hominids, which had exceeded their natural abilities, into transhominids, that is, into humans. Now, the development of artificial intelligence transforms humans, which exceed their natural (innate) abilities into so-called transhumans. The progress of artificial intelligence is making a real revolution not only in the field of technology, but also in the economy, medicine, agriculture, transport, finance, insurance, trade, education, work, etc. Thanks to this, our world and we in it are changing at a dizzying pace. Artificial intelligence has become strategically the most important technology of the twenty-first century. The country with the most advanced artificial Therefore, the superpowers accelerate the development of artificial intelligence in competing for global domination. This implies a huge increase in financial outlays, which then are missing for the implementation of other important tasks, such, as for example, to fight poverty. Along with the development of artificial intelligence, its alienation progresses and this causes the dehumanization of people. The author presents a number of benefits and threats resulting from the use of artificial intelligence, which do not balance. Among the greatest threats, they are transhuman and artificial super-intelligence embodied in a super- robot. “The full development of artificial intelligence could spell the end of the human race. Man, who is limited by the slow evolution of biological intelligence, will not be able to compete with the transhuman, whose artificial intelligence is developing faster. He needs to be replaced by a transhuman”.1 Artificial intelligence is able to make man equal to God. It is not difficult to imagine what would happen if such a robot became the "god" who would rule the world and the cosmos, and on whose decisions or whims the fate of individuals, humanity, the world and the survival of our species would depend.
Źródło:
Eunomia – Rozwój Zrównoważony – Sustainable Development; 2021, 1(100); 159-170
1897-2349
2657-5760
Pojawia się w:
Eunomia – Rozwój Zrównoważony – Sustainable Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of an effectiveness of artificial neural networks for various activation functions
Porównanie efektywności sztucznych sieci neuronowych dla różnych funkcji aktywacji
Autorzy:
Florek, Daniel
Miłosz, Marek
Powiązania:
https://bibliotekanauki.pl/articles/24083568.pdf
Data publikacji:
2023
Wydawca:
Politechnika Lubelska. Instytut Informatyki
Tematy:
activation functions
artificial neural networks
artificial intelligence
funkcja aktywacji
sztuczne sieci neuronowe
sztuczna inteligencja
Opis:
Activation functions play an important role in artificial neural networks (ANNs) because they break the linearity in the data transformations that are performed by models. Thanks to the recent spike in interest around the topic of ANNs, new improvements to activation functions are emerging. The paper presents the results of research on the effectiveness of ANNs for ReLU, Leaky ReLU, ELU, and Swish activation functions. Four different data sets, and three different network architectures were used. Results show that Leaky ReLU, ELU and Swish functions work better in deep and more complex architectures which are to alleviate vanishing gradient and dead neurons problems. Neither of the three aforementioned functions comes ahead in accuracy in all used datasets, although Swish activation speeds up training considerably and ReLU is the fastest during prediction process.
Funkcje aktywacji, przełamując linową naturę transformacji zachodzących w sztucznych sieciach neuronowych (SSN), pozwalają na uczenie skomplikowanych wzorców występujących w danych wejściowych, np. w obrazach. Wzrost zain-teresowania wokół SSN skłonił naukowców do badań wokół różnolitych aktywacji, które mogą dać przewagę podczas uczenia jak i przewidywania, ostatecznie przyczyniając się do powstania nowych, interesujących rozwiązań. W artykule przedstawiono wyniki badań nad efektywnością SSN dla funkcji ReLU, Leaky ReLU, ELU oraz Swish, przy użyciu czterech zbiorów danych i trzech różnych architektur SSN. Wyniki pokazują, że funkcje Leaky ReLU, ELU i Swish lepiej sprawdzają się w głębokich i bardziej skomplikowanych architekturach, mając za zadanie zapobieganie proble-mom zanikającego gradientu (ang. Vanishing Gradient) i martwych neuronów (ang. Dead neurons). Żadna z trzech wyżej wymienionych funkcji nie ma przewagi w celności (ang. Accuracy), jednakże Swish znacznie przyspiesza ucze-nie SSN, a ReLU jest najszybsza w procesie przewidywania
Źródło:
Journal of Computer Sciences Institute; 2023, 26; 7--12
2544-0764
Pojawia się w:
Journal of Computer Sciences Institute
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie sztucznych sieci neuronowych w analizie sygnałów elektrokardiograficznych
Using artificial neural networks for analysis of electrocardiographic signals
Autorzy:
Litwińska, M.
Powiązania:
https://bibliotekanauki.pl/articles/261498.pdf
Data publikacji:
2014
Wydawca:
Politechnika Wrocławska. Wydział Podstawowych Problemów Techniki. Katedra Inżynierii Biomedycznej
Tematy:
EKG
sztuczna inteligencja
sztuczne sieci neuronowe
Matlab
ECG
artificial intelligence
artificial neural networks
MATLAB
Opis:
Celem pracy było przebadanie możliwości zastosowania sztucznych sieci neuronowych do analizy i rozpoznawania sygnałów EKG. Artykuł zawiera przegląd zagadnień dotyczących EKG, pozyskiwania i interpretacji sygnałów oraz zastosowania sztucznych sieci neuronowych do diagnostyki. Znaczącym elementem pracy jest próba zaimplementowania w programie Matlab systemu rozróżniającego sygnały różnego typu.
The main goal of the work is to test the possibility of using artificial neural networks for analysis and recognition of ECG signals. The paper contains a review of issues related to ECG, acquisition and interpretation of signals, application of artificial neural networks in the diagnosis. A significant element is the attempt to implement the system for differentiating various types of signals using Matlab software.
Źródło:
Acta Bio-Optica et Informatica Medica. Inżynieria Biomedyczna; 2014, 20, 2; 80-94
1234-5563
Pojawia się w:
Acta Bio-Optica et Informatica Medica. Inżynieria Biomedyczna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ataki na urządzenia mobilne i metody ich wykrywania
Autorzy:
Niewiadomska-Szynkiewicz, Ewa
Litka, Rafał
Powiązania:
https://bibliotekanauki.pl/articles/13947024.pdf
Data publikacji:
2023-02-20
Wydawca:
Akademia Sztuki Wojennej
Tematy:
cybersecurity
cyberattack detection
mobile applications
artificial
intelligence
machine learning
artificial neural networks
deep learning
Opis:
Individual protection of autonomous systems using simple analysis of transmitted messages is unfortunately becoming insufficient. There is a clear need for new solutions using data from multiple sources, integrating various methods, mechanisms and algorithms, including Big Data processing and data classification techniques using artificial intelligence methods. The quantity, quality, reliability and timeliness of data and information about the network situation, as well as the speed of its processing, determine the effectiveness of protection. The paper presents examples of the application of various artificial intelligence techniques for detecting attacks on ICT systems. Attention is focused on the application of deep learning methods for the detection of malicious applications installed on mobile devices. The effectiveness of the presented solutions was confirmed by numerous simulation experiments conducted on real data. Promising results were obtained.
Źródło:
Cybersecurity and Law; 2023, 9, 1; 95-107
2658-1493
Pojawia się w:
Cybersecurity and Law
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Niemcy jako europejski i światowy ośrodek badań i rozwoju sztucznej inteligencji
Germany as an European and Global Center for Research and Development of Artificial Intelligence
Autorzy:
Dahl, Martin
Powiązania:
https://bibliotekanauki.pl/articles/558294.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Warszawski. Centrum Europejskie
Tematy:
Artificial Intelligence;
European Union;
Innovations;
Strategy of Artificial Intelligence;
Federal Government;
Republic of Germany;
Opis:
The Artificial Intelligence is one of the key technologies of the 21st century. Numerous countries conduct advanced research on Artificial Intelligence, in which they see the possibility of gaining technological advantage over other countries. Global leaders in research and development of Artificial Intelligence are the United States and China. Also single European countries have ambitions to play a significant role in the creation and development of this technology. As the largest European Union country, Germany published at the end of 2018 the Strategy of Artificial Intelligence of the Federal Government, which defines a number of objectives to implement and guidelines necessary to create from Germany a global center of Artificial Intelligence. In this context, the purpose of this article is to answer the question of whether Germany has a chance to become a leading European and world center for research and development on Artificial Intelligence.
Źródło:
Studia Europejskie - Studies in European Affairs; 2019, 2; 153-162
1428-149X
2719-3780
Pojawia się w:
Studia Europejskie - Studies in European Affairs
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Gdybym miłości nie miał. Miłość „ludzkich maszyn
If I do not have love. "Humanoid" Love
Autorzy:
Biegalska, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/1048443.pdf
Data publikacji:
2014-01-01
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
miłość
sztuczne emocje
sztuczna inteligencja
sztuczna miłość
Człowiek 2.0
transhumanizm
love
artificial emotions
artificial intelligence
artificial love
Human 2.0 (the Cyberman)
transhumanism
Opis:
Is love characteristic only of homo sapiens? Is it only man that can love and be loved? Or has there come the time of the Cyberman – an artificial life partner to have sex with, to love and to marry? The attempt of answer to these questions is based on data collected within exact sciences and humanities, and in particular on the idea of a post-biological man of  transhumanism.
Źródło:
Filozofia Chrześcijańska; 2014, 11; 123-138
1734-4530
2450-0399
Pojawia się w:
Filozofia Chrześcijańska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelowanie neuronowe w procesie transportu wilgoci w ziarnie pszenicy
Moisture transport process in wheat seeds modeled with artificial neurons
Autorzy:
Szwedziak, K.
Powiązania:
https://bibliotekanauki.pl/articles/228441.pdf
Data publikacji:
2009
Wydawca:
Wyższa Szkoła Menedżerska w Warszawie
Tematy:
sorbent naturalny
sorbent sztuczny
suszenie
sieci neuronowe
natural absorbent
artificial absorbent
desiccation
artificial neutral networks
Opis:
W artykule opisano wykorzystanie sieci neuronowych do opisu transportu wilgoci w ziarnie pszenicy, podczas suszenia metodą niekonwencjonalną. Jako alternatywną metodę do suszenia konwencjonalnego zastosowano suszenie z wykorzystaniem sorbentu naturalnego, jakim było ziarno tego samego gatunku co ziarno suszone.
Usage of neutral networks as an instrument for describe moisture transport process in wheat seeds, during unconventional method of drying has been presented in article. As an alternative method for conventional drying natural absorbent desiccation method has been used. As an natural absorbent this same species of seeds as dried, has been used.
Źródło:
Postępy Techniki Przetwórstwa Spożywczego; 2009, 2; 24-26
0867-793X
2719-3691
Pojawia się w:
Postępy Techniki Przetwórstwa Spożywczego
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forecasting Stock Price using Wavelet Neural Network Optimized by Directed Artificial Bee Colony Algorithm
Autorzy:
Khuat, T. T.
Le, Q. C.
Nguyen, B. L.
Le, M. H.
Powiązania:
https://bibliotekanauki.pl/articles/308651.pdf
Data publikacji:
2016
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
Artificial Bee Colony algorithm
Artificial Neural Network
back-propagation algorithm
stock price forecasting
wavelet transform
Opis:
Stock prediction with data mining techniques is one of the most important issues in finance. This field has attracted great scientific interest and has become a crucial research area to provide a more precise prediction process. This study proposes an integrated approach where Haar wavelet transform and Artificial Neural Network optimized by Directed Artificial Bee Colony algorithm are combined for the stock price prediction. The proposed approach was tested on the historical price data collected from Yahoo Finance with different companies. Furthermore, the prediction result was found satisfactorily enough as a guide for traders and investors in making qualitative decisions.
Źródło:
Journal of Telecommunications and Information Technology; 2016, 2; 43-52
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Publicznoprawne aspekty przeciwdziałania zanieczyszczeniu sztucznym światłem – podstawowe postulaty "de lege ferenda"
Autorzy:
Szlachetko, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/48899291.pdf
Data publikacji:
2023-04-24
Wydawca:
Uniwersytet Warszawski. Wydawnictwa Uniwersytetu Warszawskiego
Tematy:
artificial light pollution
public-law aspects of counteracting light pollution
harmful emission of artificial light
Opis:
The paper presents a normative analysis of Polish legislation, along with recommendations for necessary changes that would provide legal instruments to counteract artificial light pollution. The aim is to indicate the regulations essential for limiting the harmful emission of artificial light in key aspects that result from the environmental protection law in connection with provisions on technical standards and requirements. Counteracting light pollution requires not only defining emission standards, but also rational planning that takes into account land use or the function a given area serves. In addition, it is essential that appropriate technical standards be established for the design and installation of outdoor lighting.
Źródło:
Studia Iuridica; 2022, 94; 408-425
0137-4346
Pojawia się w:
Studia Iuridica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Creating Marketing Knowledge about the Consumer in the Context of the Development of Internet Tools
Autorzy:
Mazurek-Łopacińska, K.
Sobocińska, M.
Powiązania:
https://bibliotekanauki.pl/articles/118091.pdf
Data publikacji:
2017
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
knowledge
marketing research
Internet
artificial intelligence
Opis:
The aim of the article is to present marketing knowledge about the consumer as an enterprise resource and the role of marketing research in expanding it in the context of progressive virtualization of social life and the development of Internet tools. The current article was written on the basis of an in-depth literature study and an analysis of the selected results of quantitative research conducted in 2013 on a sample of 152 enterprises.
Źródło:
Applied Computer Science; 2017, 13, 3; 90-101
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Logistyczne systemy informatyczne wykorzystujące sztuczną inteligencję w branży motoryzacyjnej
Logistics systems using artificial intelligence in the automotive industry
Autorzy:
Stawiarska, E.
Powiązania:
https://bibliotekanauki.pl/articles/393004.pdf
Data publikacji:
2016
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
sztuczna inteligencja
logistyka
artificial intelligence
Logistics
Opis:
Artykuł podzielono na rozdziały zawierające opisy działania inteligentnych systemów wspomagających/zastępujących pracę logistyka w systemach zaopatrzenia, produkcji, dystrybucji oraz w integrujących się metasystemach. Do każdego z rozdziałów przygotowano podstawowe definicje oraz przykłady firm, które wykorzystują sztuczną inteligencję. W rozdziale pierwszym opisano firmę TRW Automotive – firma zarządza procesami produkcyjnymi z zastosowaniem AI (Artificial Intelligenss) opartej na koncepcji Six Sigma. W rozdziale drugim opisano możliwość pobierania nieustrukturalizowanych danych do zintegrowanych systemów zarządzania klasy ERP (z wykorzystaniem techniki ETL) w firmie General Motors. Również w rozdziale drugim zaprezentowano funkcje bota ALICE wspomagającego zarządzanie łańcuchami logistycznymi. Rozdział trzeci poświęcony jest AI wykorzystywanej w motoryzacyjnych sieciach dystrybucji marki BMW. Omówiono koncepcję Internetu rzeczy i działanie becon-ów. Czwarty rozdział poświęcony jest sztucznej inteligencji wspomagającej powoływanie i koordynowanie dynamicznych sieci dostaw, wykorzystującej oprogramowanie stworzone na podstawie teorii CAS (Złożonych Systemów Adaptacyjnych – Complex Adaptive Systems). Przewodnim celem artykułu było pokazanie trendów w rozwoju AI na potrzeby zarządzania logistyką w organizacji i sieci współpracujących przedsiębiorstw.
The article consists of four chapters: Intelligent systems in production logistics; Intelligent transport logistics in supply chain management; Intelligent logistics and transportation management supporting distribution system; Intelligent systems supporting organizing and coordinating the work of the dynamic supply network. In each of the chapters there is the theory part and examples of companies that use artificial intelligence. In the first chapter the TRW Automotive Company was described, which manages production processes using Artificial Intelligence (AI) based on the concept of Six Sigma. In the second chapter the ability to retrieve unstructured data to integrated management systems e.g. ERP (using techniques ETL), was described based on the practice at General Motors. Also in the second chapter the ALICE bot functions supporting the management of logistics chains was presented. The third chapter is devoted to AI used in the automotive distribution networks of the BMW brand. As well as the concept of the Internet of Things and operation of the beacon technology was discussed. The fourth chapter is devoted to artificial intelligence supporting the establishment and coordination of the dynamic supply network, using software developed based on the theory of CAS (Complex Adaptive Systems). The aim of this article was to show trends in the development of AI to manage logistics in the organization and a network of cooperating companies.
Źródło:
Organizacja i Zarządzanie : kwartalnik naukowy; 2016, 4; 101-119
1899-6116
Pojawia się w:
Organizacja i Zarządzanie : kwartalnik naukowy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Interakcje wyładowania elektryczne - minerały
Inieraction sparks - minerals
Autorzy:
Pawlikowski, M.
Bożęcki, P.
Powiązania:
https://bibliotekanauki.pl/articles/343867.pdf
Data publikacji:
2015
Wydawca:
nakł. Maciej Pawlikowski
Tematy:
minerals
artificial sparks
SEM
minerały
iskry
Opis:
Wykonano eksperymenty polegające na bombardowaniu powierzchni kryształów przez wyładowania elektryczne. Kryształy umieszczono na elektrodzie w specjalnej rurce szklanej. Iskry wytwarzano przy pomocy specjalnego generatora. Powierzchnie kryształów w strefie wyładowań badano przy pomocy mikroskopu skaningowego z przystawką do analiz chemicznych (EDS). Stwierdzono powstawanie w bombardowanej powierzchni kryształów mikro kraterów. Uderzenia iskier spowodowały także w niektórych przypadkach powstanie ziarn czystych metali w pobliżu mikro kraterów.
Interaction minerals artificial sparks were examined using pyrite, galena, hematite an pyrrhotite - bornite were examined using specially constructed generator. The surface of crystals was examines using SEM-EDS after strong bombing by artificial spark. The erosion of surface and formation of micro crater was observed. Moreover activity of sparks led to the formation of new secondary product represented sometime by pure metals.
Źródło:
Auxiliary Sciences in Archaeology, Preservation of Relics and Environmental Engineering; 2015, 20; 1-24
1689-6742
Pojawia się w:
Auxiliary Sciences in Archaeology, Preservation of Relics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Numerical analysis of soil settlement prediction and its application in large-scale marine reclamation artificial island project
Autorzy:
Zhao, J.
Bao, L.
Wang, G.
Powiązania:
https://bibliotekanauki.pl/articles/259183.pdf
Data publikacji:
2017
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
microstructure
consolidation
creep
artificial island
settlement
Opis:
In an artificial island construction project based on the large-scale marine reclamation land, the soil settlement is a key to affect the late safe operation of the whole field. To analyze the factors of the soil settlement in a marine reclamation project, the SEM method in the soil micro-structural analysis method is used to test and study six soil samples such as the representative silt, mucky silty clay, silty clay and clay in the area. The structural characteristics that affect the soil settlement are obtained by observing the SEM charts at different depths. By combining numerical calculation method of Terzaghi’s one-dimensional and Biot’s two-dimensional consolidation theory, the one-dimensional and two-dimensional creep models are established and the numerical calculation results of two consolidation theories are compared in order to predict the maximum settlement of the soils 100 years after completion. The analysis results indicate that the micro-structural characteristics are the essential factor to affect the settlement in this area. Based on numerical analysis of one-dimensional and two-dimensional settlement, the settlement law and trend obtained by two numerical analysis method is similar. The analysis of this paper can provide reference and guidance to the project related to the marine reclamation land.
Źródło:
Polish Maritime Research; 2017, S 3; 4-11
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improving Self-Localization Efficiency in a Small Mobile Robot by Using a Hybrid Field of View Vision System
Autorzy:
Rostkowska, M.
Skrzypczyński, P.
Powiązania:
https://bibliotekanauki.pl/articles/950983.pdf
Data publikacji:
2015
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
self-localization
artificial landmark
omnidirectional camera
Opis:
In this article a self-localization system for small mobile robots based on inexpensive cameras and unobtrusive, passive landmarks is presented and evaluated. The main contribution is the experimental evaluation of the hybrid field of view vision system for self-localization with artificial landmarks. The hybrid vision system consists of an omnidirectional, upward-looking camera with a mirror, and a typical, front-view camera. This configuration is inspired by the peripheral and foveal vision co-operation in animals. We demonstrate that the omnidirectional camera enables the robot to detect quickly landmark candidates and to track the already known landmarks in the environment. The front-view camera guided by the omnidirectional information enables precise measurements of the landmark position over extended distances. The passive landmarks are based on QR codes, which makes possible to easily include in the landmark pattern additional information relevant for navigation. We present evaluation of the positioning accuracy of the system mounted on a SanBot Mk II mobile robot. The experimental results demonstrate that the hybrid field of view vision system and the QR code landmarks enable the small mobile robot to navigate safely along extended paths in a typical home environment.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 4; 28-38
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ways of Selecting Internal Patterns in Multilayer Perceptron Network
Autorzy:
Kolibabka, M.
Cader, A.
Siwocha, A.
Krupski, M.
Powiązania:
https://bibliotekanauki.pl/articles/108637.pdf
Data publikacji:
2012
Wydawca:
Społeczna Akademia Nauk w Łodzi
Tematy:
neural networks
artificial intelligence
back propagation
Opis:
Creating and later learning one-way neural networks depends on many factors. Selecting many of them has estimated and experimental character. The suggested method is the Allows weakness of the influence of the not optimal choice of the net structure, also speed and momentum values are less influential in classic Back then Propagation Method. There are few modes of choosing elements to use in Followed algorithm.
Źródło:
Journal of Applied Computer Science Methods; 2012, 4 No. 1; 63-73
1689-9636
Pojawia się w:
Journal of Applied Computer Science Methods
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automatic Programming System with Access in The Natural Language
Autorzy:
Kazimierczak, J.
Powiązania:
https://bibliotekanauki.pl/articles/92901.pdf
Data publikacji:
2005
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
artificial intelligence
automatic programming
knowledge representation
Opis:
In this paper, acquisition of knowledge from user's programs written in Pascal to the knowledge base of the computer is introduced. It is shown that system with such a kind of knowledge can be used as the automatic programming system. First, representation of knowledge acquired by the computer from different programs is characterized. Then searching for pieces of knowledge in the knowledge base needed for synthesis of a program specified in user requirement is described. Finally, the construction of a new program from the found pieces of knowledge is shown.
Źródło:
Studia Informatica : systems and information technology; 2005, 2(6); 35-47
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel deep neural network that uses space-time features for tracking and recognizing a moving object
Autorzy:
Chang, O.
Constante, P.
Gordon, A.
Singaña, M.
Powiązania:
https://bibliotekanauki.pl/articles/91702.pdf
Data publikacji:
2017
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
deep architectures
deep learning
artificial vision
Opis:
This work proposes a deep neural net (DNN) that accomplishes the reliable visual recognition of a chosen object captured with a webcam and moving in a 3D space. Autoencoding and substitutional reality are used to train a shallow net until it achieves zero tracking error in a discrete ambient. This trained individual is set to work in a real world closed loop system where images coming from a webcam produce displacement information for a moving region of interest (ROI) inside the own image. This loop gives rise to an emergent tracking behavior which creates a self-maintain flow of compressed space-time data. Next, short term memory elements are set to play a key role by creating new representations in terms of a space-time matrix. The obtained representations are delivery as input to a second shallow network which acts as ”recognizer”. A noise balanced learning method is used to fast train the recognizer with real-world images, giving rise to a simple and yet powerful robotic eye, with a slender neural processor that vigorously tracks and recognizes the chosen object. The system has been tested with real images in real time.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 2; 125-136
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Poszukiwanie unijnych standardów sztucznej inteligencji
Autorzy:
Sobczak, Jacek
Kakareko, Ksenia
Gołda-Sobczak, Maria
Powiązania:
https://bibliotekanauki.pl/articles/13949456.pdf
Data publikacji:
2023-02-20
Wydawca:
Akademia Sztuki Wojennej
Tematy:
artificial intelligence
digital market
new technologies
Opis:
Cybersecurity is closely related to the issue of artificial intelligence. The starting point for its presentation in the EU perspective seems to be the Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions entitled „Artificial Intelligence for Europe”. This communication was preceded by the European Economic and Social Committee’s own-initiative opinion „Artificial intelligence: the impact of artificial intelligence on the (digital) single market, production, consumption, employment and society”. In the body of this opinion, the European Economic and Social Committee concluded that there is no single accepted and rigid definition of artificial intelligence.
Źródło:
Cybersecurity and Law; 2023, 9, 1; 243-275
2658-1493
Pojawia się w:
Cybersecurity and Law
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Expert systems in assessing the construction process safety taking account of the risk of disturbances
Autorzy:
Siemaszko, A.
Jakubczyk-Galczynska, A.
Grzyl, B.
Powiązania:
https://bibliotekanauki.pl/articles/30147063.pdf
Data publikacji:
2018
Wydawca:
Akademia Wojsk Lądowych imienia generała Tadeusza Kościuszki
Tematy:
construction safety
artificial intelligence
expert system
Opis:
The objective of the paper is to present the issue of safety management during the construction process. Threats in the form of disturbances may occur in the preparatory phase, during the execution of the construction project and also during its operational use. The article presents the concept of applying the methodology based, among others, on Learning Bayesian Networks, Artificial Neural Networks and Support Vector Machine, which can be used for building a system for diagnostic and decision-making support at each stage of the construction process. The use of expert systems when it comes to making choices related to construction issues can bring many benefits to decision-makers, as it reduces the risk of taking a wrong decision, and, thus, increases the construction process safety.
Źródło:
Scientific Journal of the Military University of Land Forces; 2018, 50, 3(189); 218-227
2544-7122
2545-0719
Pojawia się w:
Scientific Journal of the Military University of Land Forces
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dual-Process Approach to the Problem of Artificial Intelligence Agency Perception
Autorzy:
Rabiza, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/31234153.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Instytut Filozofii i Socjologii PAN
Tematy:
artificial intelligence
perceived agency
agency attribution
Opis:
Thanks to advances in machine learning in recent years the ability of AI agents to act independently of human oversight,respond to their environment, and interact with other machines has significantly increased, and is one step closer to human-like performance. For this reason, we can observe contemporary researchers’ efforts towards modeling agency in artificial systems.In this light, the aim of this paper is to develop a dual-process approach to the problem of AI agency perception, and to discuss possible triggers of various agency perceptions. The article discusses the agency attribution phenomenon, based on which theargument for the dual-process nature of agency perception is developed. Two distinct types of thinking (processing)involved in human reasoning on AI agency are suggested: Type 1 and Type 2. The first one is fast, automatic, routine, and often unconscious; the second is a slower, controlled, more conscious one. Thesetwo distinct types of processing can yield differing and sometimes conflicting results for human cognition and interaction. Thepreliminary philosophical findings may contribute to further investigations in philosophy of mind or cognitive psychology andcould also be empirically tested in HCI and UX studies.
Źródło:
Filozofia i Nauka; 2022, 10, zeszyt specjalny; 303-313
2300-4711
2545-1936
Pojawia się w:
Filozofia i Nauka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cognitive technologies – are we in danger of humanizing machines and dehumanizing humans?
Autorzy:
Marszałek-Kotzur, Izabela
Powiązania:
https://bibliotekanauki.pl/articles/27315523.pdf
Data publikacji:
2022
Wydawca:
STE GROUP
Tematy:
human
robot
artificial intelligence
cognitive technologies
Opis:
The purpose of this article is to introduce some of the problems arising from the rapid development and raising the status of machines and the increasing disregard for human rights in the context of the use of cognitive technologies. Cognitive technologies are highly acclaimed and are being introduced into almost all aspects of life, especially in business. The article asks the question of whether the use of these technologies leads to a gradual humanization of machines while dehumanizing humans. The article is purely theoretical and based on a literature study of selected bibliographic items. On the basis of the analyzed texts an attempt was made to introduce the concept of artificial intelligence, cognitive technologies and algorithms. It also attempts to diagnose the state of work on the regulation of the legal situation related to the development of artificial intelligence and cognitive technologies, as well as the status of robots. The philosophical concept of dehumanization and its selected examples are also outlined. The discussion leads to the conclusion that the pace of development of cognitive technologies, overtaking the human ability to comprehend them, poses a threat of machines getting out of human control.
Źródło:
Management Systems in Production Engineering; 2022, 3 (30); 269--275
2299-0461
Pojawia się w:
Management Systems in Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Logos & Techne - About New Possibilities of Creating Art with Artificial Intelligence
Autorzy:
Marcinkowski, Arkadiusz Mieczysław
Powiązania:
https://bibliotekanauki.pl/articles/23952446.pdf
Data publikacji:
2022
Wydawca:
Politechnika Gdańska
Tematy:
artificial intelligence
art authentication
art restoration
Opis:
The integration of artificial intelligence (AI) in the art world has been transforming various industries, including the creation of new artwork, interpretation of existing pieces of art, curation of exhibitions, authentication of artworks, creation of interactive art, and restoration of damaged artwork. AI algorithms can analyze and generate new pieces of art based on collected data, classify elements in a painting, curate exhibitions and collections tailored to specific audiences, authenticate artworks, create interactive art, and restore damaged artwork. This article explores the various possibilities and applications of AI in the art world, highlighting its potential to innovate and revolutionize the industry even further as the technology continues to evolve.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2022, 26, 4
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
APPLICATION OF ARTIFICIAL NEURAL NETWORK SUPPORTING THE PROCESS OF PORTFOLIO MANAGEMENT IN TERMS OF TIME INVESTMENT ON THE WARSAW STOCK EXCHANGE
Autorzy:
Halicki, Marcin
Kwater, Tadeusz
Powiązania:
https://bibliotekanauki.pl/articles/453277.pdf
Data publikacji:
2014
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
artificial intelligence
stock exchange
features
investment
Opis:
The paper presents the use of artificial neural networks as a tool expert, which supports decision-making for the quarterly period investing on the stock exchange. The authors also proposed a set of 12 features of the economy and the stock market, which has a universal character so that the approach presented in the publication of this configuration data can be useful for any chosen market. Tests were carried out on the basis of actual data from WSE (GPW in Warsaw) and the Polish economy.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2014, 15, 2; 307-316
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Theological and Anthropological Analysi of Procreation in the Context of Contemporary Debate on Naprotechnology
Autorzy:
Picur, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/2037717.pdf
Data publikacji:
2017
Wydawca:
Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL
Tematy:
naprotechnology
infertility
artificial insemination
natural law
Opis:
Immersed in the world dominated by pragmatism, contemporary man seems to be thinking and functioning only according to the criteria of effective acting. However, life experience, philosophical reflection, and the truth of Revelation lead to the conclusion that the laws of nature must be respected in the name of care for man and for one’s genuine good, even though they may, in certain cases, limit the effectiveness of acting and the possibility to acquire current profit. This article justifies the necessity to respect natural law in the sphere of transmission of  human life. The starting point of this scientific reflection is the theological vision of values and of the inviolability of human life on the basis of the description of creation from the Book of Genesis. The fundamental truths and moral norms are being neglected nowadays as—being so proud of modern technological achievements—man makes himself the creator and the master of human life. Although such activities seem impressive from the scientific point of view, they actually result in a number of serious contemporary and future threats. The second part of the article presents alarming aspects of  artificial interventions in the sphere of life transmission. By exposing the threats and by trying to prevent them in the sphere of infertility treatment, the Church opposes the methods of artificial insemination and becomes engaged in promoting naprotechnology which is a method that expresses genuine humanism, and which gives hope not only to the parents who want to have a baby but also to the mankind that longs for propitious future.
Źródło:
Roczniki Teologiczne; 2017, 64, 3 English Online Version; 93-107
2353-7272
Pojawia się w:
Roczniki Teologiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-50 z 1750

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