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Tytuł:
The application of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the demand response program
Autorzy:
Kapler, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/27311421.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
demand response
residential power consumers
uncertainty
fuzzy rule-based Bayesian
reagowanie na popyt
niepewność
odbiorcy energii lokalni
algorytmy bayesowskie
Opis:
This paper proposes the usage of the fuzzy rule-based Bayesian algorithm to determine which residential appliances can be considered for the Demand Response program. In contrast with other related studies, this research recognizes both randomness and fuzziness in appliance usage. Moreover, the input data for usage prediction consists of nodal price values (which represent the actual power system conditions), appliance operation time, and time of day. The case study of residential power consumer behavior modeling was implemented to show the functionality of the proposed methodology. The results of applying the suggested algorithm are presented as colored 3D control surfaces. In addition, the performance of the model was verified using R squared coefficient and root mean square error. The conducted studies show that the proposed approach can be used to predict when the selected appliances can be used under specific circumstances. Research of this type may be useful for evaluation of the demand response programs and support residential load forecasting.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 4; art. no. e146106
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of a rule based monetary policy in a Central Bank Digital Currency System
Autorzy:
Wijngaard, Jacob
Van Hee, Kees
Powiązania:
https://bibliotekanauki.pl/articles/14110259.pdf
Data publikacji:
2021-12-28
Wydawca:
Wyższa Szkoła Bankowa we Wrocławiu
Tematy:
Design
CBDC
Rule-based
Monetary policy
Inflation correction
Domestic product proxy
Opis:
Aim: This paper presupposes a purely Central Bank Digital Currency (CBDC) based system. Its aim is to describe how such a system facilitates complete new possibilities to design a suitable monetary policy. More specifically, the purpose is to show that the available monetary tools can be used to design a rule-based monetary policy that guarantees stability of purchasing power and interest rates. Research methods: The paper is design oriented. It describes how the monetary system could function The important monetary variables are defined and their relationship is described. To illustrate these variables and their relationship, simulation results of their behavior are added. Conclusions: It is shown that it is indeed possible to design a monetary policy that is rule based and guarantees stability of purchasing power and interest rates. Crucial elements in the design are linking the balances of the CBDC-accounts to a proxy of the domestic product and replacing the use of government bonds by allowing the government to borrow from the Central Bank and giving households and businesses the opportunity to open a savings account at the Central Bank. Originality: The approach is completely new. It is the result of rethinking the possibilities of a complete transition of bank money to CBDC. Implications: The paper shows that a more absolute transition to the use of CBDC makes it possible to establish a clearer and more stable monetary practice, and that it is necessary therefore to revise monetary theory.
Źródło:
Central European Review of Economics and Management; 2021, 5, 4; 61-95
2543-9472
Pojawia się w:
Central European Review of Economics and Management
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of a Rules-Based Recommendation System Implemented in Prolog for the Management of Electronic Waste from ICT
Autorzy:
Dallos Parra, David Leonardo
Carvajal Camargo, Maryury Julieth
Sánchez Céspedes, Juan Manuel
Powiązania:
https://bibliotekanauki.pl/articles/2027979.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
electronic waste
recycling
rule-based system
information and communication technologies
Prolog
Opis:
Electronic waste generated from Information and Communication Technologies (ICT) has become a global issue as this represents a negative impact on both environment and human health. Consequently, it is noticeably useful to develop tools to soften such impact. Therefore, this article presents a rules-based system implemented in Prolog aiming at guiding ICT devices users towards good practices on electronic waste management to diminish the negative impact. The methodologies employed include exploratory, descriptive, and experimental. Even though the system developed in Prolog was found to be deficient with user interface, it is also functional and efficient, including features like usability and maintainability. In conclusion, it was found that waste recollection systems may be useful for both environmental management processes in different countries and also positive business opportunities.
Źródło:
Journal of Ecological Engineering; 2021, 22, 11; 104-113
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming
Autorzy:
Zhu, Di
Pritchard, Ewan
Dadam, Sumanth Reddy
Kumar, Vivek
Xu, Yang
Powiązania:
https://bibliotekanauki.pl/articles/2097501.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Naukowe Silników Spalinowych
Tematy:
energy management strategy
rule-based
dynamic programming
OBD
on-board diagnostics
hybrid electric vehicles
strategia zarządzania energią
systemy oparte na regułach
programowanie dynamiczne
diagnostyka pokładowa samochodu
hybrydowe pojazdy elektryczne
Opis:
Reducing energy consumption is a key focus for hybrid electric vehicle (HEV) development. The popular vehicle dynamic model used in many energy management optimization studies does not capture the vehicle dynamics that the in-vehicle measurement system does. However, feedback from the measurement system is what the vehicle controller actually uses to manage energy consumption. Therefore, the optimization solely using the model does not represent what the vehicle controller sees in the vehicle. This paper reports the utility factor-weighted energy consumption using a rule-based strategy under a real-world representative drive cycle. In addition, the vehicle test data was used to perform the optimization approach. By comparing results from both rule-based and optimization-based strategies, the areas for further improving rule-based strategy are discussed. Furthermore, recent development of OBD raises a concern about the increase of energy consumption. This paper investigates the energy consumption increase with extensive OBD usage.
Źródło:
Combustion Engines; 2021, 60, 1; 3--10
2300-9896
2658-1442
Pojawia się w:
Combustion Engines
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
HiPHET : hybrid approach for translating code-mixed language (Hinglish) to pure languages (hindi and english)
Autorzy:
Attri, Shree Harsh
Prasad, T. V.
Ramakrishna, G.
Powiązania:
https://bibliotekanauki.pl/articles/1839239.pdf
Data publikacji:
2020
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
code-mixed language
pure language
Hinglish
hybrid language
machine translation
HiPHET
rule based MT
Opis:
Bilingual code-mixed (hybrid) languages have become very popular in India as a result of the spread of technology in the form of television, the Internet, and social media. Due to this increase in the use of code-mixed languages in day-to-day communication, the need for maintaining the integrity of the Indian languages has arisen. As a result of this, a tool named Hinglish to Pure Hindi and English Translator was developed. The tool is capable of translating in three ways; namely, Hinglish into pure Hindi and English, pure Hindi into pure English, and vice versa. The tool has achieved an accuracy of 91% in giving Hindi sentences and of 84% in giving English sentences as output when the input sentences were in Hinglish. The tool has also been compared with another similar tools.
Źródło:
Computer Science; 2020, 21 (3); 371-391
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A three-level aggregation model for evaluating software usability by fuzzy logic
Autorzy:
Rakovská, Eva
Hudec, Miroslav
Powiązania:
https://bibliotekanauki.pl/articles/331401.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
measuring software usability
rule-based system
fuzzy quantifiers
aggregation function
questionnaire
system regułowy
kwantyfikator rozmyty
funkcja agregacji
Opis:
Rapid deployment of IT brings about new issues with software usability measurement. Usability is based on users’ experience and is strongly subjective, having a qualitative character. The users’ comfort is usually collected by surveys in their daily work. The present article stems from an experimental study related to the evaluation of the usability of tools by a rule-based system. The work suggests a robust computational model that will be able to avoid the main problems arising from the experimental study (a large and less-legible rule base) and to deal with the vagueness of IT user experience, different levels of skills and various numbers of filled questionnaires in different departments. The computational model is based on three hierarchical levels of aggregation supported by fuzzy logic. Choices for the most suitable aggregation functions in each level are advocated and illustrated with examples. The number of questions and granularity of answers in this approach can be adjusted to each user group, which could reduce the response burden and errors. Finally, the paper briefly describes further possibilities of the suggested approach.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2019, 29, 3; 489-501
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An expert elicitation analysis for vessel allision risk near the offshore wind farm by using fuzzy rule-based bayesian network
Autorzy:
Yu, Q.
Liu, K.
Powiązania:
https://bibliotekanauki.pl/articles/117215.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
offshore wind farms
expert elicitation analysis
Bayesian network model
fuzzy rule-based bayesian network
Failure Modes and Effects Analyses (FMEA)
Bayesian Networks
vessel allision risk
risk analysis
Opis:
This paper develops an expert based framework for analysing and synthesising the ship allision risk near the offshore wind farm (OWF) on the basis of a generic Fuzzy Bayesian network and FMEA analysis. This framework is specifically intended to overcome the difficulty of using traditional risk assessment methods in OWF allision. Under the introduced framework, subjective belief degrees are assigned to model the incompleteness encountered in establishing the knowledge base. The fuzzy transformation technology is then used to introduce all judgements results under various situations. Fully, a Bayesian network is established to aggregate all relevant attributes to the conclusion and to prioritise potential allision risk level of each ship categories. A series of case studies of different ship categories are studied to illustrate the application of the proposed framework. Results show that the fishing vessel and the service vessel have a higher allision risk than the merchant vessel due to insufficient risk detection. The collision consequence of the tanker is significantly higher than other types of vessel. The framework facilitates subjective risk assessment when historical failure data is not available in their practice, which provides support to OWF-safeguarding and decision-making.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 831-837
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multi-Criteria Decision Analysis (MCDA) methods in Life-Cycle Assessment (LCA) : a comparison of private passenger vehicles
Autorzy:
Macioł, A.
Rębiasz, B.
Powiązania:
https://bibliotekanauki.pl/articles/406360.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
environmental indicators
life cycle assessment (LCA)
LCA
multicriteria decision analysis
MCDA
rule-based MCDA
fuzzy reasoning in MCDA
Opis:
Analogies between the life cycle assessment (LCA) and multicriteria decision analysis (MCDA) methodologies have been discussed as well as LCA as an MCDA problem for resolving the trade-offs between multiple environmental objectives. The objective of this study is to compare a variety of specialised multicriteria methods and knowledge-based methods used to aggregate the results from LCA. The studies were conducted using examples of LCA on private passenger vehicles. The research used two classical methods for multicriteria decision making (AHP and TOPSIS), the method of conventional (crisp) reasoning and Mamdani’s method of fuzzy inference. The results demonstrate that among the methods analysed, only crisp reasoning does not provide satisfactory results.
Źródło:
Operations Research and Decisions; 2018, 28, 1; 5-26
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A hierarchical inferential method for indoor scene classification
Autorzy:
Jiang, J.
Liu, P.
Ye, Z.
Zhao, W.
Tang, X.
Powiązania:
https://bibliotekanauki.pl/articles/330842.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
indoor scene classification
semantic hierarchical structure
rule based inference
Markov logic network
struktura hierarchiczna
regułowy system wnioskowania
sieć logiczna Markova
Opis:
Indoor scene classification forms a basis for scene interaction for service robots. The task is challenging because the layout and decoration of a scene vary considerably. Previous studies on knowledge-based methods commonly ignore the importance of visual attributes when constructing the knowledge base. These shortcomings restrict the performance of classification. The structure of a semantic hierarchy was proposed to describe similarities of different parts of scenes in a fine-grained way. Besides the commonly used semantic features, visual attributes were also introduced to construct the knowledge base. Inspired by the processes of human cognition and the characteristics of indoor scenes, we proposed an inferential framework based on the Markov logic network. The framework is evaluated on a popular indoor scene dataset, and the experimental results demonstrate its effectiveness.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2017, 27, 4; 839-852
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rule based networks : an efficient and interpretable representation of computational models
Autorzy:
Liu, H.
Gegov, A.
Cocea, M.
Powiązania:
https://bibliotekanauki.pl/articles/91698.pdf
Data publikacji:
2017
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
rule based networks
knowledge discovery
predictive modelling
rule representation
Opis:
Due to the vast and rapid increase in the size of data, data mining has been an increasingly important tool for the purpose of knowledge discovery to prevent the presence of rich data but poor knowledge. In this context, machine learning can be seen as a powerful approach to achieve intelligent data mining. In practice, machine learning is also an intelligent approach for predictive modelling. Rule learning methods, a special type of machine learning methods, can be used to build a rule based system as a special type of expert systems for both knowledge discovery and predictive modelling. A rule based system may be represented through different structures. The techniques for representing rules are known as rule representation, which is significant for knowledge discovery in relation to the interpretability of the model, as well as for predictive modelling with regard to efficiency in predicting unseen instances. This paper justifies the significance of rule representation and presents several existing representation techniques. Two types of novel networked topologies for rule representation are developed against existing techniques. This paper also includes complexity analysis of the networked topologies in order to show their advantages comparing with the existing techniques in terms of model interpretability and computational efficiency.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 2; 111-123
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Typy translatorów automatycznych w tłumaczeniu metafor
Different Types of Machine Translation Systems in the Process of Translating Metaphors
Autorzy:
NASIADKA, Mieczysław
Powiązania:
https://bibliotekanauki.pl/articles/960032.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Warszawski. Wydział Lingwistyki Stosowanej
Tematy:
machine translation
translation engine
rule-based
statistical
neural translation
metaphor
idiom
tłumaczenie maszynowe oprogramowanie tłumaczeniowe system oparty na regułach tłumaczenie statystyczne
sieci neuronowe
metafora
Opis:
The two main topics discussed in this article are machine translation systems and metaphorical constructions translated by such systems. I briefly present the history of machine translation, its evolution and types of the most widespread engines, taking into account their architecture. I describe rule-based, statistical and neural machine translation, taking Translatica PWN, Google Statistical and Google Neural Machine Translation systems respectively as examples. Having discussed the notion of metaphor, I finally analyse examples of metaphorical expressions and idioms translated by the described engines, compare the final outcome and present my conclusions.
Źródło:
Lingwistyka Stosowana / Applied Linguistics / Angewandte Linguistik; 2017, 23; 213-227
2080-4814
Pojawia się w:
Lingwistyka Stosowana / Applied Linguistics / Angewandte Linguistik
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of ALSV(FD) logic and XTT knowledge representation in the range of ADI properties
Autorzy:
Regulski, K.
Wilk-Kołodziejczyk, D.
Rojek, B.
Kluska-Nawarecka, S.
Adrian, W. T.
Powiązania:
https://bibliotekanauki.pl/articles/380492.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
foundry production
computer aided foundry
application of information technologies
ADI
ALSV
rule based XTT format
odlewnia
odlewy
komputerowe wspomaganie odlewni
zastosowanie technologii informatycznych
Opis:
The objective of studies presented in this publication was structuring of research knowledge about the ADI functional properties and changes in these properties due to material treatment. The results obtained were an outcome of research on the selection of a format of knowledge representation that would be useful in further work aiming at the design, application and implementation of an effective system supporting the decisions of a technologist concerning the choice of a suitable material (ADI in this case) and appropriate treatment process (if necessary). ALSV(FD) logic allows easy modelling of knowledge, which should let addressees of the target system carry out knowledge modelling by themselves. The expressiveness of ALSV (FD) logic allows recording the values of attributes from the scope of the modelled domain regarding ADI, which is undoubtedly an advantage in the context of further use of the logic. Yet, although the logic by itself does not allow creating the rules of knowledge, it may form a basis for the XTT format that is rule-based notation. The difficulty in the use of XTT format for knowledge modelling is acceptable, but formalism is not suitable for the discovery of rules, and therefore the knowledge of technologist is required to determine the impact of process parameters on values that are functional properties of ADI. The characteristics of ALSV(FD) logic and XTT formalism, described in this article, cover the most important aspects of a broadly discussed, full evaluation of the applicability of these solutions in the construction of a system supporting the decisions of a technologist.
Źródło:
Archives of Foundry Engineering; 2016, 16, 2; 75-78
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Knowledge discovery in data in construction projects
Odkrywanie wiedzy z danych w przedsięwzięciach budowlanych
Autorzy:
Szelka, J.
Wrona, Z.
Powiązania:
https://bibliotekanauki.pl/articles/230754.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
wnioskowanie
przedsięwzięcie budowlane
odkrywanie wiedzy
dane
reprezentacja
wiedza regułowa
inference
engineering project
discovering knowledge
data
rule-based knowledge
representation
Opis:
Decision-making processes, including the ones related to ill-structured problems, are of considerable significance in the area of construction projects. Computer-aided inference under such conditions requires the employment of specific methods and tools (non-algorithmic ones), the best recognized and successfully used in practice represented by expert systems. The knowledge indispensable for such systems to perform inference is most frequently acquired directly from experts (through a dialogue: a domain expert - a knowledge engineer) and from various source documents. Little is known, however, about the possibility of automating knowledge acquisition in this area and as a result, in practice it is scarcely ever used. lt has to be noted that in numerous areas of management more and more attention is paid to the issue of acquiring knowledge from available data. What is known and successfully employed in the practice of aiding the decision-making is the different methods and tools. The paper attempts to select methods for knowledge discovery in data and presents possible ways of representing the acquired knowledge as well as sample tools (including programming ones), allowing for the use of this knowledge in the area under consideration.
Problemy decyzyjne w obszarze przedsięwzięć budowlanych charakteryzują się w wielu przypadkach słabym poziomem ustrukturyzowania. W procesie wnioskowania stosuje się wówczas często metody heurystyczne. Wśród nich szczególne znaczenie należy przypisać wnioskowaniu eksperckiemu. Informatyczne wspomaganie tych przedsięwzięć jest realizowane przy użyciu systemów ekspertowych. Jednym z ważniejszych czynników warunkujących skuteczność wnioskowania jest jakość wiedzy, wykorzystywanej do wypracowania decyzji. Przedsięwzięcie pozyskiwania wiedzy od ekspertów dziedzinowych zaliczane jest do najbardziej pracochłonnych i kosztownych etapów tworzenia bazy wiedzy. Znaczny poziom złożoności procesów związanych z akwizycją wiedzy eksperckiej w obszarze przedsięwzięć budowlanych, jej czasochłonność i duże koszty stały się przesłanką do poszukiwania innych możliwości w zakresie pozyskiwania wiedzy (w tym – automatyzacji pozyskiwania wiedzy).
Źródło:
Archives of Civil Engineering; 2016, 62, 2; 217-228
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Porównanie algorytmów wnioskowania klasycznego i rozmytego na przykładzie systemu wspomagania decyzji personalnych menedżera
Comparison of algorithms classic and fuzzy inference on example of manager’s personnel decision support system
Autorzy:
Ćwiklińska, I.
Nowak-Brzezińska, A.
Powiązania:
https://bibliotekanauki.pl/articles/327040.pdf
Data publikacji:
2016
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
regułowe bazy wiedzy
system ekspertowy
wnioskowanie klasyczne
wnioskowanie rozmyte
rule-based knowledge base
expert systems
classic inference
fuzzy inference
Opis:
Celem pracy jest porównanie działania algorytmów wnioskowania dwuwartościowego i rozmytego. Artykuł zawiera opis teoretycznych podstaw działania obu algorytmów, użycia każdego z nich w innej wersji systemu wspomagania decyzji menedżera. Następnie pokazano bazę wiedzy oraz dokładny algorytm wnioskowania, a także przykład użycia w praktyce systemu z wnioskowaniem klasycznym. Ostatnią częścią pracy jest opis analizy podobieństw i różnic pomiędzy algorytmami oraz wynikających z niej wniosków.
The aim of the study is to compare operation of divalent and fuzzy inference. The article contains describing the theoretical basis of operation of both algorithms and illustrated is to use each of them with a different version of the manager’s decision support system. Next is shown knowledge base and accurate inference algorithm and also example of use system of classic inference in practice. The last part of the work is to describe the analysis of the similarities and differences between algorithms and of its conclusions.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2016, 92; 21-30
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new approach for the clustering using pairs of prototypes
Autorzy:
Jezewski, M.
Czabanski, R.
Leski, J.
Horoba, K.
Powiązania:
https://bibliotekanauki.pl/articles/333693.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
fuzzy clustering
pairs of prototypes
fuzzy rule-based classification
grupowanie rozmyte
pary prototypów
rozmyta klasyfikacja oparta na regułach
Opis:
In the presented work two variants of the fuzzy clustering approach dedicated for determining the antecedents of the rules of the fuzzy rule-based classifier were presented. The main idea consists in adding additional prototypes (’prototypes in between’) to the ones previously obtained using the fuzzy c-means method (ordinary prototypes). The ’prototypes in between’ are determined using pairs of the ordinary prototypes, and the algorithm based on distances and densities finding such pairs was proposed. The classification accuracy obtained applying the presented clustering approaches was verified using six benchmark datasets and compared with two reference methods.
Źródło:
Journal of Medical Informatics & Technologies; 2015, 24; 113-121
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
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