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1

Dehuri, Satchidananda, and Sung-Bae Cho. Knowledge mining using intelligent agents. London: Imperial College Press, 2011.

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2

Babovic, Vladan. Emergence, evolution, intelligence: Hydroinformatics : a study of distributed and decentralised computing using intelligent agents. Rotterdam: A.A. Balkema, 1996.

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3

Bigus, Joseph P. Constructing intelligent agents using JAVA. 2nd ed. New York: Wiley, 2001.

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4

Hemanth, D. Jude, ed. Human Behaviour Analysis Using Intelligent Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35139-7.

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5

Yan, Jun. Using fuzzy logic: Towards intelligent systems. New York: Prentice Hall, 1994.

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6

Casillas, Jorge, and Francisco J. Martínez-López, eds. Marketing Intelligent Systems Using Soft Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15606-9.

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7

Schildt, Herbert. Artificial intelligence using C. Berkeley, Calif: Osborne McGraw-Hill, 1987.

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8

Huddleston, Creed. Intelligent sensor design using the microchip dsPIC. Boston: Elsevier/Newnes, 2006.

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9

Cao, Tiehua. Intelligent task planning using fuzzy Petri nets. Singapore: World Scientific, 1996.

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10

Hafner, Christian. Post-modern electromagnetics: Using intelligent Maxwell solvers. Chichester: John Wiley, 1999.

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11

Rosandich, Ryan G. Intelligent visual inspection: Using artificial neural networks. London: Chapman & Hall, 1997.

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12

Huddleston, Creed. Intelligent sensor design using the microchip dsPIC. Amsterdam: Elsevier/Newnes, 2007.

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13

Rosandich, Ryan G. Intelligent Visual Inspection: Using artificial neural networks. Boston, MA: Springer US, 1996.

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14

Zilouchian, Ali, and Mohammad Jamshidi. Intelligent control systems using soft computing methodologies. Boca Raton, Fla: CRC Press, 2001.

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15

Burwell, Helen P. Online competitive intelligence: Increase your profits using cyber-intelligence. 2nd ed. Tempe, Ariz: Facts on Demand Press, 2004.

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16

Burwell, Helen P. Online competitive intelligence: Increase your profits using cyber-intelligence. Tempe, AZ: Facts on Demand Press, 1999.

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17

Seiffert, Udo, Lakhmi C. Jain, and Patric Schweizer, eds. Bioinformatics Using Computational Intelligence Paradigms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b13301.

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18

Yao, Haipeng, Chunxiao Jiang, and Yi Qian. Developing Networks using Artificial Intelligence. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15028-0.

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19

Edmiston, Marcia R. Decision support for reconnaissance using intelligent software agents. Monterey, Calif: Naval Postgraduate School, 1998.

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20

Vella, Carolyn M. Improved business planning using competitive intelligence. New York: Quorum Books, 1988.

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21

Marwala, Tshilidzi. Economic Modeling Using Artificial Intelligence Methods. London: Springer London, 2013.

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22

Sturdy, Graham R. Customer relationship management using business intelligence. Newcastle upon Tyne, UK: Cambridge Scholars Publishing, 2012.

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23

Marwala, Tshilidzi. Condition Monitoring Using Computational Intelligence Methods. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2380-4.

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24

Marwala, Tshilidzi. Economic Modeling Using Artificial Intelligence Methods. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5010-7.

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25

Tracy, Kim W. Object-oriented artificial intelligence using C++. New York: Computer Science Press, 1997.

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26

Marwala, Tshilidzi, and Monica Lagazio. Militarized Conflict Modeling Using Computational Intelligence. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-790-7.

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27

Doumpos, Michael, Constantin Zopounidis, and Panos M. Pardalos, eds. Financial Decision Making Using Computational Intelligence. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3773-4.

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28

Marwala, Tshilidzi. Militarized conflict modeling using computational intelligence. London: Springer, 2011.

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29

Doumpos, Michael. Financial Decision Making Using Computational Intelligence. Boston, MA: Springer US, 2012.

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30

Tanimoto, S. The elements of artificial intelligence: An introduction using LISP. Rockville, MD: Computer Science Press, 1987.

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31

Tyson, Kirk W. M. Competitor intelligence manual and guide: Gathering, analyzing, and using business intelligence. Englewood Cliffs, N.J: Prentice Hall, 1990.

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32

Durmišević, Sanja. Perception aspects in underground spaces using intelligent knowledge modeling. Delft, Netherlands: DUP Science, 2002.

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33

Guglielmo, Eugene J. Intelligent information retrieval for a multimedia database using captions. Monterey, Calif: Naval Postgraduate School, 1992.

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34

Mäkivirta, Aki. Towards reliable and intelligent alarms by using median filters. Espoo, Finland: Valtion teknillinen tutkimuskeskus, 1989.

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35

Melin, Patricia, and Oscar Castillo. Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b97585.

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36

Halliman, Charles. Business intelligence using smart techniques: Environmental scanning using text mining and competitor analysis using scenarios and manual simulation. Houston, TX: Information Uncover, 2001.

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37

Halliman, Charles. Business Intelligence Using Smart Techniques: Environmental Scanning Using Text Mining and Competitor Analysis Using Scenarios and Manual Simulation. Houston, Texas: Information Uncover, 2009.

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38

Caldwell, Sheri. Using your emotional intelligence to develop others. New York City: Palgrave Macmillan, 2009.

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39

Sumathi, S. Computational intelligence paradigms: Theory & applications using MATLAB. Boca Raton, FL: CRC Press, 2010.

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40

Caldwell, Sheri, and Linda Gravett. Using Your Emotional Intelligence to Develop Others. New York: Palgrave Macmillan US, 2009. http://dx.doi.org/10.1007/978-0-230-10131-9.

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41

Yoon, Min, Yeboon Yun, and Hirotaka Nakayama. Sequential Approximate Multiobjective Optimization Using Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88910-6.

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42

Mirjalili, Seyedali, and Jin Song Dong. Multi-Objective Optimization using Artificial Intelligence Techniques. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24835-2.

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43

Yoon, Min. Sequential Approximate Multiobjective Optimization Using Computational Intelligence. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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44

Sumathi, S. Computational intelligence paradigms: Theory & applications using MATLAB. Boca Raton, FL: CRC Press, 2010.

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45

Hassanien, Aboul Ella, Roheet Bhatnagar, Václav Snášel, and Mahmoud Yasin Shams, eds. Medical Informatics and Bioimaging Using Artificial Intelligence. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91103-4.

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46

Melin, Patricia, Oscar Castillo, Eduardo Gomez Ramírez, Janusz Kacprzyk, and Witold Pedrycz, eds. Analysis and Design of Intelligent Systems using Soft Computing Techniques. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72432-2.

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47

Kramarov, Sergey, Vladimir Khramov, Elena Grebenyuk, and Anatoly Bocharov. Fundamentals of the ergotechnical approach to the formation of an electronic educational environment. ru: Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02086-9.

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Abstract:
The monograph deals with the problems of analysis and synthesis of electronic information and learning environment as an ergatic system. The issues of creation, development and evaluation of such systems, as well as information support of the process of building and using artificial intelligence, including in the protection of information, are considered. The monograph provides theoretical justifications for the research of information objects, which reveals the mechanism of constructing a mathematical model of the educational process at the university and explains the understanding of the education system as a system of systems, as well as information processes associated with it. The research presented in the monograph is the basis for the creation of new and effective robotic organizational and organizational-technical systems in education. The monograph is intended for researchers and teachers, postgraduates, undergraduates and engineers specializing in the field of educational management, including intelligent adaptive control of complex robotic systems.
48

Tewkesbury, Giles Eric. Design using distributed intelligence within advanced production machinery. Portsmouth: University of Portsmouth, 1994.

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49

Tracy, Kim W. Object-oriented artificial intelligence using C[plus plus]. New York: W. H. Freeman, 1997.

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50

Unhelkar, Bhuvan. Green IT strategies and applications: Using environmental intelligence. Boca Raton, FL: Taylor & Francis, 2011.

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