Inbunden, Engelska, 2024
Del i serien Sustainable Computing and Optimization
Intelligent Data Analytics for Bioinformatics and Biomedical Systems
Av Neha Sharma, Korhan Cengiz, Prasenjit Chatterjee
3289 kr
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Beskrivning
Produktinformation
- Utgivningsdatum: 2024-11-05
- Mått: 158 x 231 x 28 mm
- Vikt: 903 g
- Format: Inbunden
- Språk: Engelska
- Serie: Sustainable Computing and Optimization
- Antal sidor: 432
- Förlag: John Wiley & Sons Inc
- ISBN: 9781394270880
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Neha Sharma PhD, is an assistant professor in the Department of Computer Science and Engineering, Chitkara University, Rajpura, India. She has more than 60 international publications in reputed peer-reviewed journals. She has also published more than 30 national & international patents under the Intellectual Property Rights of the governments of India and abroad. Her main areas of research are in image processing, machine learning, deep learning, and cybersecurity. Korhan Cengiz, PhD, is an assistant professor at the Department of Information Technologies, Faculty of Informatics and Management, University of Hradec Kralove, Kralove, Czech Republic. He obtained his doctorate in electronics engineering from Kadir Has University, Istanbul, Turkey, in 2016 and has authored more than 40 SCI articles, five international patents, ten chapters in books, and one book. His research interests include wireless sensor networks, wireless communications, statistical signal processing, etc. Prasenjit Chatterjee, PhD, is a professor of mechanical engineering and dean (research and consultancy) at MCKV Institute of Engineering, West Bengal, India. He has authored several books on intelligent decision-making, fuzzy computing, supply chain management, etc. He has over 6850 citations and many research papers in various international journals. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) and Ranking Alternatives through Functional Mapping of Criterion Sub-Intervals into a Single Interval (RAFSI).
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