1st Edition
Evolution and Advances in Computing Technologies for Industry 6.0 Technology, Practices, and Challenges
The book provides a comprehensive exploration of Industry 6.0, which marks the convergence of Intelligent Systems, Machine learning, Deep Learning, and Human Robot Collaboration in various sectors. It focuses on how these technologies enable businesses to harness insights from vast datasets, optimize operations, forecast maintenance requirements, and mitigate outages. In this comprehensive book, the authors cover major aspects of Industry 6.0, including the latest advances in technology, new applications, and the many challenges that accompany the process that is changing it. This book acts as a compass, guiding the reader through the labyrinth of Industry 6.0, revealing the complex interactions between technologies, new applications, innovations, and business ecosystems. From a multidisciplinary perspective, the book explores the far-reaching impact of Industry 6.0 on the business world, revealing its potential to increase productivity, improve decision-making, and open new opportunities for development.
The primary focuses of the proposed book are:
- Discusses the transformative impact of Industry 6.0, driven by the convergence of AI, ML, and IIoT in manufacturing
- Explores the transformative potential of human-robot collaboration (HRC) in modern manufacturing, emphasizing its ability to boost productivity, flexibility, and safety
- Compares several service models in cloud computing, with a focus on private, public, and community cloud deployment methods
- Presents explicit information about autism spectrum disorder in children followed by the advanced technology used to detect autism in children using convolutional neural networks
- Describes the need for an accurate diagnosis of Alzheimer's disease by integrating state-of-the-art technologies, especially deep learning
- Focuses on digital adaptation in India's agricultural sector especially Uttar Pradesh, highlighting challenges and prospects
- Presents a visionary leap into Agriculture 6.0, where technology and tradition converge for sustainable farming solutions
- Provides the Mitigation strategies of climate changes over multiple locations
- Explores the transformative impact of recent computational intelligence advancements on vehicle surveillance and recognition, particularly through CCTV analysis
- Focuses on the exploration and development of a supply chain network design (SCND) model of a milk product
The primary market for this book will include Researchers, Academics, Practitioners, Technology Providers, undergraduate and post graduate students, scholars, consultants, advisors, and doctors. This book can be used by undergraduate and post graduate students pursuing industry 6.0 programs in computer science and engineering across the globe.
1. Empowering the Factory of the Future: Integrating Artificial Intelligence, Machine Learning, and IOT Innovations in Industry 6.0
Ushaa Eswaran, Vivek Eswaran, Vishal Eswaran, and Keerthna Murali
2. Human-Robot Collaboration Analyzing the Challenges and Opportunities of Integrating Soft Computing Algorithms in Manufacturing Environments
Ushaa Eswaran, Vivek Eswaran, Vishal Eswaran, and Keerthna Murali
3. An Overview of Cloud Computing: Paradigm, Technologies, and Application
Gulfishan Mobin, Riya Sil, and Anindya Nag
4. Autism Spectrum Disorder Classification in Children Using Deep Learning Approaches in Healthcare 6.0
P. Yashashwini Reddy, C Kishor Kumar Reddy, Kari Lippert, and P. Sahithi Reddy
5. Exploring Neurodegenerative Progression: Healthcare 6.0 Insights using Sustainable Convolutional Neural Networks.
Nishitha Pujala, C Kishor Kumar Reddy, and Nastassia Thandiwe Sithole
6. Digital Adaptation in Agricultural Sector: Challenges and Prospects in Uttar Pradesh; India
S Md Shakir Ali, Abhishek Ranjan, Pei Mey Lau, and Bibi Ishrat Jahan
7. Next-Gen Agriculture 6.0, A Smart Solutions Pioneering the Future of Farming
Yogesh H. Patil, Rachana Y. Patil, and Ozen Ozer
8. Review of Study of Biochemical Water Parameters for Prediction and Analysis of Quality of Water using Machine Learning Techniques in Industry 6.0
Gauri Ruchir Chavan and Ashish Adholiya
9. Climate Change Mitigation Strategies using Convolutional Neural Networks over Multiple Locations
Kishor Kumar Reddy C, Harshitha Muthyam, Srinath Doss, and Pranay Chandur
10. Driving Sustainable Practices in Industry 6.0: A Study on Article Detection with Fuzzy Wuzzy and Supervised Machine Learning Algorithms
Subhasish Mohapatra, Riya Sil, and Anindya Nag
11. Evolution of Computational Intelligence for Vehicle Surveillance and Recognition in Industry 6.0: Recent Innovations, Practices, and Challenges
Vallidevi Krishnamurthy, Nivedita P R, Akshaya S, Nithyashree S, Prasanna S, and Sonali Agarwal
12. Piecewise Mixed Integer Non-Linear Optimization for Supply Chain Network Design (SCND) Model: Confirmation through Cluster Analysis
Monalisha Pattnaik, Alipsa Pattnaik, Ashirbad Mishra, and Agnibrata Nayak
13. Integrated Multi-Item Multi-Echelon Supply Chain Model: A Mixed Integer Heuristic Approach
Monalisha Pattnaik, Aryan Pattnaik, Monee Kieran Roul, and P Abhilash Kumar
Biography
Dr C Kishor Kumar Reddy, currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 10 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 an author for 2 text books and 7 co-edited books. His research areas include: Atmospheric Sciences, Meteorology, Healthcare, Intelligent Systems, Machine Learning and Deep learning.
Prof. Srinath Doss is the Professor and Dean in the Faculty of Engineering and Technology, Botho University, responsible for Botswana, Lesotho, Eswatini, Namibia and Ghana Campuses. He has written good number of books and 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 an advisory member for various prestigious conferences. Prof. Srinath is member of IAENG and Associate Member in UACEE.
Surbhi Bhatia Khan is doctorate in Computer Science and Engineering in machine learning and social media analytics. She is listed in the top 2% researchers released by the Stanford University, USA. She earned Project management Professional Certification from reputed Project Management Institute, USA. She is currently working in the Department of Data Science, School of Science, Engineering and environment, University of Salford, Manchester, United Kingdom. She holds research positions Lebanese American University. She also enjoys adjunct professor position from Shoolini University, Himachal Pradesh, India. She has more than 12 years of academic and teaching experience in different universities. She has published 150+ papers in many reputed journals in high indexed outlets. She has around 12 international patents from India, Australia and USA. She has successfully authored 2 books and edited 15 books. She is working in the research projects with UKRI, Deanship of Scientific Research, 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 over 20 invited and keynote talks across the globe. She is serving as an Academic editor, Associate Editor and Guest editor in many reputed journals. She is the awardee of the Research Excellence award given by King Faisal University, Saudi Arabia in 2021. Her area of interests are AI, Medical Imaging, Deep learning, Machine learning, and Data science.
Abdulmajeed Alqhatani is currently an Assistant Professor at Najran University, Saudi Arabia, and is also serving as the Director of Research and Graduate Studies in the Department of Information Systems. He completed his Ph.D. in Computing and Information Systems from the University of North Carolina at Charlotte, United States in 2021. His research interests include Usable Security & Privacy, 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
