Evolution and Advances in Computing Technologies for Industry 6.0

C. Kishor Kumar Reddy is Associate Professor at the Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than ten years. He has published more than 60 research papers in national and international conferences, book chapters, and journals indexed by SCIE, Scopus, and others. He is the author of two textbooks and seven co‑edited books. His research areas include atmospheric sciences, meteorology, healthcare, intelligent systems, machine learning, and deep learning. Srinath Doss is Professor and Dean in the Faculty of Engineering and Technology, Botho University, responsible for the Botswana, Lesotho, Eswatini, Namibia, and Ghana campuses. He has written several books, published more than 80 papers in international journals, and attended several prestigious conferences. He serves as an editorial member and reviewer for reputed international journals and as an advisory member for various prestigious conferences. Professor Srinath is a Member of IAENG and an Associate Member of UACEE. Surbhi Bhatia Khan holds a doctorate in computer science and engineering in machine learning and social media analytics. She is listed in the top 2% of researchers released by Stanford University, USA. She earned project management Professional Certification from the reputed Project Management Institute, USA. She teaches in the Department of Data Science, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom. She holds a research position at the Lebanese American University. She also enjoys an Adjunct Professor position at Shoolini University, Himachal Pradesh, India. She has more than 12 years of academic and teaching experience at different universities. She has published 150+ papers in many reputed journals in high‑indexed outlets. She has 12 international patents from India, Australia, and the USA. She has written 2 books and edited 15 books. She is working on research projects with UKRI, the Deanship of Scientific Research, the Ministry of Education from Saudi Arabia, and India. She is a Senior Member of IEEE, a Member of IEEE Young Professionals, and ACM. She has chaired several international conferences and workshops and has delivered more than 20 invited and keynote talks across the globe. She serves as an Academic Editor, Associate Editor, and Guest Editor with many reputed journals. She is the awardee of the Research Excellence Award given by King Faisal University, Saudi Arabia, in 2021. Her areas of interest include artificial intelligence, medical imaging, deep learning, machine learning, and data science. Abdulmajeed Alqhatani is Assistant Professor at Najran University, Saudi Arabia, and the Director of Research and Graduate Studies in the Department of Information Systems, Saudi Arabia. He earned a PhD in computing and information systems at the University of North Carolina at Charlotte, USA, in 2021. His research interests include usable security and privacy, internet of things (IoT) applications in a smart city, business intelligence, and data analytics. Dr. Alqhatani’s publications appear in various academic journals and conferences, including IEEE Sensors Journal and the CHI Conference on Human Factors in Computing Systems.

1. Empowering the Factory of the Future: Integrating Artificial Intelligence, Machine Learning, and IoT Innovations in Industry 6.0. 2. Human–Robot Collaboration Analyzing the Challenges and Opportunities of Integrating Soft Computing Algorithms in Manufacturing Environments. 3. An Overview of Cloud Computing: Paradigm, Technologies, and Application. 4. Autism Spectrum Disorder Classification in Children Using Deep Learning Approaches in Healthcare 6.0. 5. Exploring Neurodegenerative Progression: Healthcare 6.0 Insights Using Sustainable Convolutional Neural Networks. 6. Digital Adaptation in Agricultural Sector: Challenges and Prospects in Uttar Pradesh, India. 7. Next‑Gen Agriculture 6.0: A Smart Solution Pioneering the Future of Farming. 8. Review of Study of Biochemical Water Parameters for Prediction and Analysis of Quality of Water Using Machine Learning Techniques in Industry 6.0. 9. Climate Change Mitigation Strategies Using Convolutional Neural Networks over Multiple Locations. 10. Driving Sustainable Practices in Industry 6.0: A Study on Article Detection with Fuzzy‑Wuzzy and Supervised Machine Learning Algorithms. 11. Evolution of Computational Intelligence for Vehicle Surveillance and Recognition in Industry 6.0: Recent Innovations, Practices, and Challenges. 12. Piecewise Mixed‑Integer Non‑Linear Optimization for Supply Chain Network Design (SCND) Model: Confirmation through Cluster Analysis. 13. Integrated Multi‑Item Multi‑Echelon Supply Chain Model: A Mixed‑Integer Heuristic Approach.