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Society 5.0 and the Future of Emerging Computational Technologies: Practical Solutions, Examples, and Case Studies

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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, and 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 augment text.


This 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.

Author(s): Neeraj Mohan, Surbhi Gupta, Chuan-Ming Liu
Series: Demystifying Technologies for Computational Excellence
Publisher: CRC Press
Year: 2022

Language: English
Pages: 312
City: Boca Raton

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