The book explores key Industry 5.0 application areas like smart manufacturing, green ecology, digital medicine, and more. It delves into advancements in artificial intelligence, machine learning, IoT, and cloud computing, emphasizing the synergy between human creativity and advanced machinery.
The dynamic leap from Industry 4.0 to Industry 5.0 signals a new era of technological advancement that emphasizes human-centered and sustainable development. Artificial intelligence (AI) serves as the foundational technology enabling Industry 5.0’s vision of human-centric manufacturing by facilitating seamless collaboration between humans and intelligent machines through advanced robotics, predictive analytics, and adaptive automation systems. The integration of AI technologies like machine learning, computer vision, and natural language processing allows for mass customization and personalized production at scale, while optimizing resource efficiency and enabling real-time decision-making across complex manufacturing networks.
1. Navigating the Shift to Education 5.0: Collaboration and Creativity
in Improving Students Digital Intelligence
2. Young and Green Technologies
5.0: Faces of Innovation of Entrepreneurship for Sustainable Development
3.
Intelligent Transportation Systems in Industry 5.0
4. Industry 5.0:
Leveraging Green Technologies and Entrepreneurial Innovation for Sustainable
Youth Development
5. Beyond Industry 4.0: A Systematic Approach of
Entrepreneurial Success Factors in the Era of Industry 5.0
6. Managing AI and
Human Collaboration in Industry 5.0: A Hybrid Workforce Framework
7.
Integrating IoT-Based Solar Tracking Systems with Industry 4.0: Emerging
Trends and Future Direction
8. AR/VR-Based Real-Time Monitoring Systems for
Improving Operational Resilience in Smart Manufacturing
9. A Critical Review
of Proactive Maintenance Strategies for Smart Factors in Industry 5.0
10.
Industry 5.0 Technologies and Artificial Intelligence; Opportunities and
Challenges of Future Directions
11. Revolutionizing Manufacturing with
Emerging Technologies and Ethical Challenges in Industry 5.0
12. The Quantum
Cloud: Bridging Advanced Computing and Cloud Technology
13. A Review of
Torque Ripple Reduction Techniques in SRM Drives: Paving the Way for Industry
5.0 in Electric Vehicle Technology
14. Future Directions and Emerging Trends
Industry 5.0; Perspective and Future Roadmap for Success
15. Industry 5.0 in
Society; Sustainable Artificial Intelligence and Human-Centeres Key Research
Insights
16. Smart Manufacturing and AI Integration
17. Industry 5.0 Digital
Transformation: A Comprehensive Review of Theoretical and Empirical Insights
18. Rethinking Assessment in Education 5.0: Competency-Based Education and
AI-Driven Evaluation
19. Enhancing Human-AI Collaboration with Machine
Learning: Driving Innovation and Flexibility in Industry 5.0
Dr. Ajay B. Gadicha is a distinguished academician, researcher, and administrator currently serving as the head of the Department of Artificial Intelligence and Data Science, dean of Research and Development, and associate professor at P. R. Pote College of Engineering and Management, Amravati, Maharashtra, India. He earned his PhD in Computer Science and Engineering from Sant Gadge Baba Amravati University and was awarded an honorary Doctor of Science (DSc) degree in Computer Science and Engineering by the Dana Brain Health Institute and the Iranian Neuroscience SocietyFars Chapter, Iran. Following his doctoral studies, he undertook a post-PhD pilot research project in Vietnam focusing on video summarization. With over 13 years of professional experience in Computer Forensics and Information Technology, Dr. Gadicha achieved First Merit and secured the University Topper position during his Master of Engineering in Information Technology in 2011. He has an extensive research portfolio, having published more than 75 papers in reputed national and international journals and conferences, authored two online books, and contributed four book chapters to Scopus-indexed publications. He also holds 30 patents registered with IPR India and 15 copyrights in the domains of computer forensics and machine learning. His research interests include video forensics, network security, image processing, and video summarization. He was honored by the Honorable Deputy Chief Minister of Maharashtra, Shri Devendraji Fadnavis, for presenting the Best Idea in Computer Science and Engineering at Patent-Fest 2023.
Dr. Rajeev Kumar is an accomplished academician and academic administrator with more than 17 years of experience in advancing professional education. He currently serves as professor and head of the Department of Computer Science and Engineering at Moradabad Institute of Technology, Uttar Pradesh, India. He holds a PhD in Computer Science with distinction, a postdoctoral Doctor of Science (DSc) degree, and a Postdoctoral Fellowship from Malaysia. Professor Kumar has extensive international academic exposure, having visited the United Kingdom, Mauritius, Malaysia, and Dubai for academic promotional activities. Under his supervision, ten scholars have completed their PhD degrees, while four scholars are presently pursuing doctoral research. A recipient of the Best Project Supervisor Award on three occasions, he plays a pivotal role in institutional development, curriculum design, and fostering a culture of research and innovation.
Dr. Sheng-Lung Peng is a professor and director of the Department of Creative Technologies and Product Design at National Taipei University of Business, Taiwan. He obtained his PhD in Computer Science from National Tsing Hua University, Taiwan. Dr. Peng holds multiple international academic positions, serving as an honorary professor at Beijing Information Science and Technology University and a visiting professor at the Ningxia Institute of Science and Technology in China, as well as an adjunct professor at Mandsaur University, India. He has edited several prestigious journal special issues and has published over 100 research papers. His research interests span bioinformatics, combinatorics, data mining, and network algorithms.
