The objective of this publication AI Modernisation Techniques for Contemporary Trends is to offer a comprehensive and practical framework for engineers, technicians, and individuals interested in converting conventional electromechanical systems into intelligent, interconnected, and efficient smart systems. The rising demand for smart technologies necessitates the need of upgrading current systems to effectively cater to these expectations. This book will serve as an extensive resource that aims to facilitate the integration of ancient and contemporary technologies, providing readers with guidance during the whole process of conversion.
Table of Contents:
1. AI-Augmented IIoT: Using Edge-based Deep Learning to Improve Industrial Intelligence and Reduce Network Congestion 2. AI-Powered Deep Learning Methods for Intelligent Manufacturing's Real-Time Image Recognition 3. Autonomous Driving Using Reinforcement Learning in Real World 4. Integrating AI in Industry: Automation and Innovation 5. Smart Traffic Signal Integrated with AI Powered Drone Surveillance 6. An AI-Driven Framework for Emotion-Aware Script Generation Using Real-Time Facial Expression Recognition and GPT-2 Medium 7. Securing AI Systems: Strategies for Privacy and Protection 8. Building Trustworthy AI Systems: Ethics and Governance 9. Artificial Intelligence for Sustainable Design and Manufacturing 10. AI in Energy Management Strategies for Environmental Sustainability 11. The Impact of AI on Human-Machine Collaboration: Defining the Future of Work with AI 12. AI-Driven Scalable Deep Learning for Real-Time Industrial NLP with Hybrid and Multimodal Integration 13. Enhancing Human-Robot Collaboration through Neuro-Symbolic and Neuromorphic AI 14. Boosting Manufacturing Productivity with Robotics and AI 15. AI and Sustainability: Advancing Socially Responsible Practices 16. Al in Management: Challenges and Solutions in Implementation
About the Author :
Pramod Singh Rathore is working in the Department of Computer and Communication Engineering at Manipal University Jaipur, India. He earned his Ph.D. in Computer Science Engineering from the University of Engineering and Management, Jaipur, and M.Tech from Government Engineering College Ajmer, Rajasthan Technical University. With over 15 years of academic experience, he has published 95+ research papers, co-authored and edited several books, and serves as an editorial board member. He is a senior IEEE and ACM member.
Abhishek Kumar is an Assistant Director and Professor in Computer Science and Engineering at Chandigarh University, Punjab, India. He holds a Ph.D. from the University of Madras and is a Post-Doctoral Fellow at Universidad De Castilla-La Mancha, Spain. With 15+ years of teaching experience, he has authored over 160 papers and edited 45 books with publishers like Elsevier, Springer, and Wiley. He is a reviewer for IEEE and Inderscience journals and a senior academic leader.
Surbhi B. Khan holds a Ph.D. in Computer Science and Engineering, specializing in machine learning and social media analytics. Recognized among the world’s top 2% researchers by Stanford University, she works in the Department of Data Science at the University of Salford, UK. She also serves at the Lebanese American University and as an adjunct professor at Shoolini University, India. With 12+ years of experience, she has 100+ publications, 12 patents, and 12 books, and leads multiple international funded research projects.
Faheem Syeed Masoodi is an Associate Professor of Cyber Security at Bahrain Polytechnic University and a Postdoctoral Researcher at Kuala Lumpur University of Science and Technology. He holds a Ph.D. in Network Security and Cryptography from Aligarh Muslim University and degrees from the University of Kashmir. He has received several prestigious fellowships, including CEMSAC (France), SP-ASCRYPTO (Brazil), MANF (India), and INTI Research Fellowship (Malaysia), recognizing his excellence in cybersecurity research and cryptography.
Fatima Asiri is an Assistant Professor at the College of Computer Science and Information Systems, King Khalid University, Saudi Arabia. She holds a Master’s degree in Information Systems from the University of Michigan, USA, and a Bachelor’s degree from King Khalid University. Her research interests include information security, privacy, IoT, data analytics, and human-computer interaction. Dr. Asiri is committed to advancing secure, user-friendly, and innovative digital systems through her research and academic contributions.
T. Rajasanthosh Kumar is an innovative researcher dedicated to advancing smart industrial systems. With 35 publications, 25 granted patents, and 2 textbooks, his expertise bridges mechanical and intelligent technologies. He has significantly contributed to transforming traditional industries into smart, automated systems. His work emphasizes integrating emerging technologies and optimizing industrial processes. Dr. Kumar continues to pursue groundbreaking research, leveraging creativity and engineering insight to drive industrial transformation and sustainability in global contexts.
