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Wyświetlanie 1-15 z 1105
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:
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:
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:
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:
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
Wyświetlanie 1-15 z 1105

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