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OverviewFull Product DetailsAuthor: Balamurugan Balusamy (Shiv Nadar University, Delhi-NCR, India) , Vinayakumar Ravi, PhD (Assistant Research Professor, Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia) , Rajesh Kumar Dhanaraj, PhD (Professor, Symbiosis International (Deemed University), Pune, India) , Sudha Senthilkumar (Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India)Publisher: Elsevier Science & Technology Imprint: Morgan Kaufmann Publishers In Weight: 0.450kg ISBN: 9780443237249ISBN 10: 0443237247 Pages: 348 Publication Date: 11 October 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Journey of Computational intelligence in sustainable computing and optimization techniques: An introduction 2. Designing computational intelligence techniques based smart framework for Sustainable Computing 3. Multiple Parameter Optimization Methods Based on Computational Intelligence Techniques in Context of Sustainable Computing 4. Sustainable Computing Based Deep Learning Framework for fault detection in Industry 4.0 heterogeneous data environments 5. IoT based vulnerability assessment for sustainable computing: threats, current solutions, and open challenges 6. Amalgamation of optimization techniques in big data analytics through granular computing: A roadmap to smart industry framework 7. Computational intelligence for data analysis in pattern recognition and Biomedical imaging 8. A block chain and artificial intelligence enabled smart IoT framework for the development of sustainable city 9. Computational intelligence based heuristic approach for maximizing energy efficiency in Sustainable Transportation and Mobility 10. Computational Intelligence for sustainable computing in Health Care informatics 11. Designing a classification model based on Computational intelligence for effective Stock market analysis and financial management 12. Artificial Intelligence based Computational intelligence solution for robotics automation 13. Developing Green Computing Awareness based on optimization techniques for Environmental Sustainability 14. Assimilation of Soft Computing and Optimization Techniques for Sustainable Agriculture evolution strategy 15. Bio-inspired meta-heuristic algorithm for solving engineering optimization problems based on computational intelligence 16. Cryptography and Cryptanalysis Through Computational Intelligence 17. Private Blockchain-based Encryption Framework Using Computational Intelligence ApproachReviewsAuthor InformationDr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence, Delhi-NCR. He is part of the Top 2% Scientists Worldwide 2023 by Stanford University in the area of Data Science/AI/ML. He is also an Adjunct Professor, Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, block chain, and data sciences. 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. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune, 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 member 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 PhD 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. Tab Content 6Author Website:Countries AvailableAll regions |
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