Intelligent Techniques For Cyber-Physical Systems ...

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	Category Language Date Added Total Size Completed Added By Info Hash Seeders Leechers Views	Tutorials > All 16-09-2023 20:15:47 19.67 MB 568 Prom3th3uS 625c01bc7a9a360cc0a0a8cf13485d6955842824 88 7 16
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Intelligent Techniques For Cyber-Physical Systems ...

Description: Intelligent Techniques for Cyber-Physical Systems [eBook] [FCO] About Intelligent Techniques for Cyber-Physical Systems covers challenges, opportunities, and open research directions for cyber-physical systems (CPS). It focuses on the design and development of machine learning and metaheuristics-enabled methods as well as blockchain for various challenges like security, resource management, computation offloading, trust management, and others in edge, fog, and cloud computing, Internet of Things (IoT), Internet of Everything (IoE), and smart cities. It also includes the design and analysis of deep learning-based models, sensing technologies, metaheuristics, and blockchain for complex real-life systems for CPS. - Offers perspectives on the research directions in CPS; - Provides state-of-the-art reviews on intelligent techniques, machine learning, deep learning, and reinforcement learning-based models for cloud-enabled IoT environment; - Discusses intelligent techniques for complex real-life problems in different CPS scenarios; - Reviews advancements in blockchain technology and smart cities; - Explores machine learning-based intelligent models for combinatorial optimization problems. The book is aimed at researchers and graduate students in computer science, engineering, and electrical and electronics engineering. Table of Contents: 1. Delay-Aware Partial Computational Offloading and Resource Allocation in Fog-Enabled Cyber-Physical Systems Mohit Kumar Saxena, Anmol Chaddha, and Sudhir Kumar 2. Enhancing the Security of Cryptographic Algorithms in Cloud-Based Cyber-Physical Systems (CCPSs) Md Saquib Jawed, Mohammad Sajid, Maria Lapina, and Mukesh Prasad 3. Containerized Deployment of Microservices in Cloud Computing Shivam and Dinesh Kumar 4. RSS-Based Smart Device Localization Using Few-Shot Learning in IoT Networks Mohammad Zeeshan, Ankur Pandey, and Sudhir Kumar 5. Data-Driven Risk Modelling of Cyber-Physical System Shakeel Ahamad, Ratneshwer Gupta, and Mohammad Sajid 6. Automation of the Process of Analysis of Information Security Threats in Cyber-Physical Systems Elena Basan, Olga Peskova, Maria Lapina, and Mohammad Sajid 7. IoT in Healthcare: Glucose Tracking System V. Manjuladevi and S. Julie Violet Joyslin 8. Intelligent Application to Support Smart Farming Using Cloud Computing: Future Perspectives J. Rajeswari, J.P. Josh Kumar, S. Selvaraj, and M. Sreedhar 9. Cybersecurity in Autonomous Vehicles Balvinder Singh, Md Ahateshaam, Anil Kumar Sagar, and Abhisweta Lahiri 10. Use of Virtual Payment Hubs over Cryptocurrencies Satyam Kumar, Dayima Musharaf, Seerat Musharaf, and Anil Kumar Sagar 11. Akaike’s Information Criterion Algorithm for Online Cashback in Vietnam Bùi Huy Khôi 12. Capacitated Vehicle Routing Problem Using Algebraic Harris Hawks Optimization Algorithm Mohammad Sajid, Md Saquib Jawed, Shafiqul Abidin, Mohammad Shahid, Shakeel Ahamad, and Jagendra Singh 13. Technology for Detecting Harmful Effects on the UAV Navigation and Communication System Elena Basan, Nikita Sushkin, Maria Lapina, and Mohammad Sajid 14. Current and Future Trends of Intelligent Transport System Using AI in Rural Areas B. Iswarya and B. Radha 15. Future Technology: Internet of Things (IoT) in Smart Society 5.0 Arun Kumar Singh, Mahesh Kumar Singh, Pushpa Chaoudhary, and Pushpendra Singh 16. IoT, Cloud Computing, and Sensing Technology for Smart Cities Kazi Nahian Haider Amlan, Mohammad Shamsu Uddin, Tazwar Mahmud, and Nahiyan Bin Riyan 17. Utilization of Artificial Intelligence in Electrical Engineering Shailesh Kumar Gupta 18. Major Security Issues and Data Protection in Cloud Computing and IoT S. Thavamani and C. Nandhini About the Author(s) Mohammad Sajid is Assistant Professor in the Department of Computer Science at Aligarh Muslim University, India. He has completed his Ph.D., M.Tech., and MCA degrees at the School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), New Delhi. His research interests include parallel and distributed computing, cloud computing, bio-inspired computation, and combinatorial optimization problems. He has published one patent and was awarded a research start-up grant in 2017 from University Grants Commission (UGC), India. Anil Kumar Sagar is Professor in the Department of Computer Science and Engineering at Sharda University Greater Noida, India. He completed his B.E., M.Tech., Ph.D. in Computer Science. His research interests include mobile ad hoc networks and vehicular ad hoc networks, IoT, and artificial intelligence. He has received a Young Scientist Award for the year 2018–2019 from the Computer Society of India and the Best Faculty Award for the years 2006 and 2007 from SGI, Agra. Jagendra Singh is Associate Professor in the School of Computer Science, Engineering and Technology, Bennett University, Greater Noida. He received his Ph.D. in Computer Science from Jawaharlal Nehru University, New Delhi. His areas of interest are natural language processing (information retrieval system, recommendation system, sentiment analysis) and machine learning (deep learning, neural network, and data analytics). Osamah Ibrahim Khalaf is Senior Assistant Professor in Engineering and Telecommunications at Al-Nahrain University/College of Information Engineering. He holds 10 years of university-level teaching experience in computer science and network technology, holds patents, and has received several medals and awards due to his innovative work and research activities. He earned his Ph.D. in Computer Networks from the Faculty of Computer Systems and Software Engineering, University of Malaysia Pahang. He has overseas work experience at Binary University in Malaysia and University of Malaysia Pahang. Mukesh Prasad is Senior Lecturer at the School of Computer Science in the Faculty of Engineering and IT at the University of Technology Sydney. His research interests include big data, computer vision, brain–computer interface, and evolutionary computation. He is also working in the field of image processing, data analytics, and edge computing. His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer (2016–2017) at the Taiwan Semiconductor Manufacturing Company (TSMC). He received a Ph.D. from the Department of Computer Science at the National Chiao Tung University in Taiwan (2015). Product Details Author: Mohammad Sajid, Anil Kumar Sagar, Jagendra Singh, Osamah Ibrahim Khalaf, Mukesh Prasad Publisher: CRC Press October 20, 2023 Language: ‎English Paperback: ‎356 pages ISBN: ‎9781032452869 Format: True PDF Source: https://www.routledge.com/Intelligent-Techniques-for-Cyber-Physical-Systems/Sajid-Sagar-Singh-Khalaf-Prasad/p/book/9781032452869

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