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Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation
258![Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.9.4)
Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation
258Hardcover
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Overview
Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results.
Key Features:
• Offers a well-balanced mathematical analysis of modeling physical systems
• Summarizes basic principles in differential geometry and convex analysis as needed
• Covers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modeling
• Focuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etc.
This book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.
Product Details
ISBN-13: | 9781032272252 |
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Publisher: | CRC Press |
Publication date: | 07/29/2022 |
Pages: | 258 |
Product dimensions: | 7.00(w) x 10.00(h) x (d) |
About the Author
Dr Ravi Tomar is currently working as Associate Professor in the School of Computer Science at the University of Petroleum & Energy Studies, Dehradun, India. Skilled in Programming, Computer Networking, Stream processing, Core Java, J2EE, RPA and CorDApp, his research interests include Wireless Sensor Networks, Image Processing, Data Mining and Warehousing, Computer Networks, big data technologies and VANET. He has authored 51+ papers in different research areas, filled four Indian patent, edited 5 books and have authored 5 books. He has delivered Training to corporates nationally and internationally on Confluent Apache Kafka, Stream Processing, RPA, CordaApp, J2EE and IoT to clients like KeyBank, Accenture, Union Bank of Philippines, Ernst and Young and Deloitte. Dr Tomar is officially recognized as Instructor for Confluent and CordApp. He has conducted various International conferences in India, France and Nepal. He has been awarded a young researcher in Computer Science and Engineering by RedInno, India in 2018, Academic Excellence and Research Excellence Award by UPES in 2021 and Young Scientist Award by UCOST, Dehradun .
Dr. Maanak Gupta is an Assistant Professor in the Department of Computer Science at Tennessee Tech University, USA. He received his Ph.D. in Computer Science from the University of Texas at San Antonio and has worked as a Postdoctoral Research Fellow at the Institute for Cyber Security. He also holds an M.S. degree in Information Systems from Northeastern University, Boston. His primary area of research includes security and privacy in cyberspace focused on studying foundational aspects of access control and their application in technologies including cyber-physical systems, cloud computing, IoT, and Big data. Dr. Gupta has worked in developing novel security mechanisms, models, and architectures for next-generation smart cars, smart cities, intelligent transportation systems, and smart farming. He is also interested in machine learning-based malware analysis and AI-assisted cyber security solutions. His scholarly work is regularly published at top peer-reviewed security venues including ACM SIGSAC conferences and refereed journals. He was awarded the 2019 computer science outstanding doctoral dissertation research award from UT San Antonio. His research has been funded by the US National Science Foundation (NSF), NASA, the US Department of Defense (DoD), and private industry.