Society 5.0 and the Future of Emerging Computational Technologies: Practical Solutions, Examples, and Case Studies
- Length: 328 pages
- Edition: 1
- Language: English
- Publisher: CRC Press
- Publication Date: 2022-02-07
- ISBN-10: 1032026030
- ISBN-13: 9781032026039
- Sales Rank: #0 (See Top 100 Books)
This book discusses the technological aspects for the implementation of Society 5.0. The foundation and recent advances of emerging technologies such as Artificial Intelligence, Data Science, Internet of Things, and Big Data for the realization of Society 5.0 are covered. Practical solutions to existing problems, examples, and case studies are also offered.
Society 5.0 and the Future of Emerging Computational Technologies: Practical Solutions, Examples, and Case Studies discusses technologies such as Machine Learning, Artificial Intelligence, Internet of Things for the implementation of Society 5.0. It offers a firm foundation and understanding of the recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management. Applications and implementations are highlighted along with the correlation between technologies. Examples and case studies are presented throughout the book to help with reading comprehension.
The book can be used by research scholars in the engineering domain who wish to gain knowledge and contribute towards a modern and secure future society. The book will also be useful as a reference at universities for postgraduate students who are interested in technological advancements.
Cover Half Title Series Title Copyright Contents Preface Editor Biographies Contributors List Chapter 1 Liquefied Petroleum Gas Level Monitoring and Leakage Detection Using Internet of Things Chapter 2 An In-Depth Analysis of Convolutional Neural Networks for Agricultural Purposes Chapter 3 Implementation of Blockchain Technology in Indian Banking Sector: A Descriptive Study Chapter 4 A Case Study of Trust Management for Authorization and Authentication in IoT Devices Using Layered Approach Chapter 5 Enthralling Aspects in Automation of Face Recognition and Aging Chapter 6 The Potential of Machine Learning and Artificial Intelligence (AI) in the Health Care Sector Chapter 7 Applications of Artificial Intelligence in Modern Health Care and Its Future Scope Chapter 8 En-Fuzzy-ClaF: A Machine Learning–Based Stack-Ensembled Fuzzy Classification Framework for Diagnosing Coronavirus Chapter 9 Efficient Approach for Lung Cancer Detection Using Artificial Intelligence Chapter 10 Cancerous or Non-Cancerous Cell Detection on a Field-Programmable Gate Array Medical Image Segmentation Using Xilinx System Chapter 11 A Deep Learning and Multilayer Neural Network Approach for Coronary Heart Disease Detection Chapter 12 Energy-Efficient Green Cities: A Mechanism for Nature-Based Solutions for Future Cities Chapter 13 Improving Suspicious URL Detection through Ensemble Machine Learning Techniques Chapter 14 Finger Vein Authentication Using Convolutional Neural Networks and Feature Extraction Chapter 15 Facial Expression Recognition in Real Time Using Swarm Intelligence and Deep Learning Model Chapter 16 Adversarial Attacks and Defenses against Deep Learning in Cybersecurity Index
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