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Utku (Hrsg.) Kose

Computational Intelligence for Covid-19 and Future Pandemics: Emerging Applications and Strategies

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The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will… Mehr

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Produktdetails


Weitere Autoren: Watada, Junzo (Hrsg.) / Deperlioglu, Omer (Hrsg.)
  • ISBN: 978-981-1637-82-7
  • EAN: 9789811637827
  • Produktnummer: 36787573
  • Verlag: Springer Nature
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Seitenangabe: 524 S.
  • Auflage: 2022

Über den Autor


Utku Kose is an Associate Professor at Suleyman Demirel University, Turkey. He received a B.S. degree in 2008 from the computer education of Gazi University, Turkey. He received an M.S. degree in 2010 from Afyon Kocatepe University, Turkey, and D.S./Ph. D. degree in 2017 from Selcuk University, Turkey. He has over 100 publications including journal articles, authored and edited books, proceedings, and reports. He is also one of the series editors of the Biomedical and Robotics Healthcare Series, CRC Press. His research interest areas are artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science. Junzo Watada received his B.Sc. and M.Sc. degrees in electrical engineering from Osaka City University, Japan, and his Ph.D. degree from Osaka Prefecture University, Japan. He is currently a Professor at the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, and Professor Emeritus at Waseda University. He received the Henri Coanda Medal Award from Inventico in Romania in 2002. He is a Life Fellow of the Japan Society for Fuzzy Theory and intelligent informatics (SOFT). Prof. Watada is an IEEE senior member, Executive Chair of ISME, WCICME, a vice-president and life member, Forum of Interdisciplinary Mathematics. He contributes to editing various international journals as an editorial board member of more than 30 journals. His professional interests include artificial neural networks, human-centric data mining, soft computing, tracking systems, knowledge engineering, financial engineering, and management engineering.Omer Deperlioglu received his B.Sc. in Electric and Electronic (1988) from Gazi University, M.Sc. in Computer Science (1996) from Afyon Kocatepe University, Ph.D. in Computer Science (2001) from Gazi University. He is an Associate Professor of Computer Programming in the Department of Science, Vocational School of Afyon, Afyon Kocatepe University of Afyon, Turkey. His current research interests include different aspects of Artificial Intelligence applied in Power Electronics, Biomedical, and Signal Processing. He has edited a book and (co-) authored three books and over 50 papers.Jose Antonio Marmolejo is a Professor at Panamerican University, Mexico. He received his Doctorate in Operations Research (Hons) from the National Autonomous University of Mexico. At present, Prof. Marmolejo has the second-highest country-wide distinction granted by the Mexican National System of Research Scientists for scientific merit (SNI Fellow, Level 2). He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems, Mexican Society for Operations Research, and System Dynamics Society. He has authored over thirty research articles in journals, books, and conference proceedings. His research areas are operations research, largescale optimization techniques, computational techniques, analytical methods for planning, operations, and control of electric energy and logistic systems, sustainable supply chain design, and digital twins in supply chains.

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