Non-Fiction Books:

Computational Intelligence in Sustainable Computing and Optimization

Trends and Applications
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  • Computational Intelligence in Sustainable Computing and Optimization
  • Computational Intelligence in Sustainable Computing and Optimization
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Description

Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resources. Computational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, Cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. Data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modelling, data analysis and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable. The field of optimization is well-known and has a diverse range of applications, including route finding problems, medical treatment, construction, finance, accounting, engineering, and maintenance schedules. Optimizing real-world problems requires understanding their nature, grouping them properly, and employing appropriate techniques that can resolve them efficiently. Nature-inspired computational algorithms have been shown to provide robust solutions for emerging and substantiated problems by utilizing heuristic algorithms. Heuristic techniques aim to find the optimal solution to the query in a timely manner. There are several categories of computational intelligence based on nature, including artificial immune systems, evolutionary algorithms, swarm intelligence, artificial neural networks, and geoscience-based algorithms, and these are applied by the authors of the book to solve various problems in sustainable computing.

Author Biography:

Prof. Balamurugan Balusamy is the Associate Dean Student at Shiv Nadar Institution of Eminence, Delhi-NCR. He is also an Adjunct Professor at the Department of Computer Science & Information Engineering at Taylor University, Malaysia. Before this assignment, he was a Professor at the School of Computing Sciences & Engineering and Director of International Relations at Galgotias University, Greater Noida, India. His contributions focus on Engineering Education, Blockchain, and Data Sciences. His academic degrees and twelve years of experience working as a faculty member in a global university like VIT University, Vellore, have made him more receptive and prominent in his domain. He does have 200 plus high-impact factor papers in Springer, Elsevier, and IEEE. He has written and authored over 200 books and edited and collaborated with eminent professors from top-ranked universities worldwide. He has published 80+ books on various technologies and visited 15-plus countries for his technical course. He has several top-notch conferences in his resume and has published over 200 quality journal, conference, and book chapters combined. Dr. Vinayakumar Ravi is an Assistant Research Professor at the Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. Dr. Ravi has been a Postdoctoral Research Fellow developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, USA. He received his Ph.D. in Computer Science from Amrita School of Engineering, Coimbatore, India. His current research interests include applications of data mining, Artificial Intelligence, machine learning and, deep learning for biomedical informatics, cyber security, image processing, and natural language processing. Dr. Ravi is editor of Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics, Springer. Dr. Ravi is an editorial board member for Journal of the Institute of Electronics and Computer (JIEC), International Journal of Digital Crime and Forensics (IJDCF), and he has organized a shared task force on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18. Dr. Dhanaraj holds a PhD in Information and Communication Engineering by Anna University, Chennai, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and of the International Association of Engineers (IAENG). He is an Expert Advisory Panel Member of Texas Instruments Inc. (USA), and an Associate Editor of International Journal of Pervasive Computing and Communications (Emerald Publishing). Dr. Sudha Senthilkumar is an Associate Professor in the School of Computer Science and Engineering at Vellore Institute of Technology. She received her Ph.D. degree in the School of Information Technology and Engineering from VIT University, Vellore. Her current research interests include cryptography, network security, Big Data, Blockchain technologies, machine learning, deep learning, and remote user authentication using smart cards. Dr. Brindha K is an Associate Professor in the School of Information Technology and Engineering at Vellore Institute of Technology. She received her Ph.D. from VIT, ME in Computer Science and Engineering from Sathyabama University. She has received the active researcher award from VIT for the past twelve years, and is one of the reviewers in the JVLC Elsevier Journal. She is a life member of the Computer Society of India. Her research interests include deep learning, machine learning, cryptography, network security, Cloud computing, and blockchain.
Release date Australia
October 1st, 2024
Audience
  • Professional & Vocational
Contributors
  • Edited by Balamurugan Balusamy
  • Edited by Brindha K
  • Edited by Rajesh Kumar Dhanaraj
  • Edited by Sudha Senthilkumar
  • Edited by Vinayakumar Ravi
Pages
250
ISBN-13
9780443237249
Product ID
38790708

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