Awasthi S., Travieso-Gonzalez C.M., Sanyal G., Singh D.K. (Eds.) Artificial Intelligence for a Sustainable Industry 4.0

Springer, 2021. — 311 p. — ISBN: 978-3-030-77069-3.This book outlines the recent advancements in the field of Artificial Intelligence (AI) and addresses how useful it is in achieving truly sustainable solutions. The book also serves as useful reference literature in developing sustainable engineering solutions to various social and techno-commercial issues of global significance.This book is organized into two sections: section 1 is focused on fundamentals and principles of AI to lay the groundwork for the second section. Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities. Applications include waste minimization, re-manufacturing, reuse, and recycling technologies using IoT/AI, Industry 4.0, intelligent and smart grid systems, energy conservation using technology, and robotic process automation (RPA). The book is ideal for engineers, researchers, and students interested in how AI can aid in sustainable development applications.Discusses Artificial Intelligence for sustainable solutions;
Features applications such as waste minimization, re-manufacturing, reuse and recycling, and robotic process automation;
Pertinent to researchers, academics, professionals, and students interested in AI solutions for sustainable developmentPossibilities of Industrial Trends and Business Benefits with Industry 4.0 Technology: A Survey
Impact of Internet of Things on Logistics Management: A Framework for Logistics Information System
Green Internet of Things (G-IoT): An Exposition for Sustainable Technological Development
Quantitative Analysis of Industrial IoT System
Formal Verification of Industrial IoT System: A Behavioural Equivalence
Steganography: Camouflaging Sensitive and Vulnerable Data
Technologies for the Rehabilitation of People Affected with CVM: A State-of-the-Art Report
Machine Learning Application: Sarcasm Detection Model
Modern Technology on Building Marketing 4.0: Impact on Customer Engagement
Smart and Intelligent Chatbot Assistance for Future Industry 4.0
Analyzing Subspace Clustering Approaches for High Dimensional Data
Ant Colony Optimization Technique in Soft Computational Data Research for NP-Hard Problems
Use of Kalman Filter and Its Variants in State Estimation: A Review
Precoder and Combiner Optimization in mmWave Hybrid Beamforming Systems
Biometric Identification System: Security and Privacy Concern
Enabling Technologies: A Transforming Action on Healthcare with IoT a Possible Revolutionizing
Automated and Curated Sack Count Leveraging Video Analysis on Moving Objects