What are the means to create a paradigm shift from conventional to intelligent companies? Industry 6.0: Technology, Practices, Challenges and Applications shows how integrating Industry 6.0 technology with data creates a framework for that shift. The book discusses the limitations, pitfalls, and open research questions in Industry 6.0, as well as the most recent advances, architectures, frameworks, applications, and novel practices, methods, and techniques. These are vital for resolving intelligent Internet of Things issues. There is a special focus on sustainable growth, humanization and environmentally friendly intelligent system applications, and an emphasis on the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing (NLP).
Features:
- Presents the latest trends in the fields of intelligent systems, machine intelligence, deep learning, and Industrial Internet of Things for smart environments.
- Discusses securing the mobile ad hoc network (MANET) by detecting the Intrusions using CSO and XGBoost model.
- Highlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domains.
- Focuses on intelligent process manufacturing, automation using robotics, development of robotic appliances, and smart manufacturing.
- Covers data-driven agriculture, crop disease prediction, drip irrigation systems, pesticide and fertilizer sprinkling using the Industrial Internet of Things, and water estimation systems.
With many contemporary articles from both scientists and practitioners working in many fields where intelligent systems and the IIoT can break new ground, the text is assembled to aim at a readership that includes researchers, statisticians, practitioners, scientists, and developers.
Table of Contents:
1. Exploring the Synergy of IIoT, AI, and Data Analytics in Industry 6.0. 2. Artificial Intelligence and Machine Learning in Industry 6.0. 3. Big Data Fusion with GEN AI Tools: Driving Industry 6.0 Advancements. 4. Aerometamorphosis in Industry 6.0: Pioneering Structural Adaptability in Contemporary Aviation using Deep Learning. 5. Industry 6.0 in Transportation Systems: Exploring the Simulated Futures of Automated Bus Fleet Integration with Alternative Fuel Infrastructures in Closed Socio technical Environments. 6. Enhanced Deep Learning Networks for Advanced Intrusion Detection and Prevention Systems. 7. Using the Fuzzy Analytical Hierarchal Process for Selecting a Closed Socio technical Environment for Autonomous Vehicles Testing in the World of Industry 6.0. 8. ScatterNet based IPOA for predicting violent individuals using Real-time drone surveillance system. 9. An Optimal Framework for Intelligent Machine Learning-Based Early Diagnosis of Pre-Diabetes And Type-2 Diabetes Using Genomic Data. 10. DiabalanceML: Enhancing Diabetes Detection Performance through Dataset Balancing Strategies. 11. Identification of Earth Quake Patterns for Predictive Modeling using Decision Tree Classifiers to maintain Sustainability.
About the Author :
C Kishor Kumar Reddy is 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 50 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 2 co-edited books. He acted as the special session chair for Springer FICTA 2020, 2022, SCI 2021, INDIA 2022 and IEEE ICCSEA 2020 conferences. He is the corresponding editor of AMSE 2021 conferences, published by IoP Science JPCS. He is the member of ISTE, CSI, IAENG, UACEE, IACSIT.
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 previously worked with various reputed Engineering colleges in India, and with Garyounis University, Libya. He has written good number of books and more than 80 papers in International Journals and attended several prestigious conferences. His research interests include MANET, Information Security, Network Security and Cryptography, Artificial Intelligence, Cloud Computing and Wireless and Sensor Network. He serves as an editorial member and reviewer for reputed international journals, and an advisory member for various prestigious conference. Prof. Srinath is member of IAENG and Associate Member in UACEE.
Lavanya Pamulaparty working as Professor and Head of the Department - Computer Science and Engineering in Methodist College of Engineering and Technology since 2010. She is a B.E. graduate in Computer Science and Engineering from KITS, Nagpur University. She obtained her M. Tech in Software Engineering from Jawaharlal Nehru and Technological University (JNTUH), Hyderabad and Doctorate degree from JNTUH, Hyderabad in area of Data Mining. She has over 21 years of experience in the field of academic research and technological education. She has published 20 papers in various International & National journals and IEEE International / National conferences and two patents. Her papers are indexed in Scopus and SCI. Her area of interest includes Artificial Intelligence and Machine Learning.She is an IEEE, CSI & ISTE life members. She has organised international conferences ICPET-2016, 2018 and ICAISC-2022.
Kari Lippert is an Assistant Professor at University of South Alabama, USA. Kari received her D.Sc from University of South Alabama in 2018, Ph.D in 2012 and MS from Johns Hopkins University in 2002. She is an Instructor and Subject Matter Expert bringing deep expertise in systems engineering, data science, and cyber analysis and significant experience teaching undergraduate and graduate students. She delivers a diverse industry background across analytical science, digital network exploitation, programming, systems architecture and design, mathematics, medicinal chemistry, protein folding, big data analysis, and research for well-known organizations and agencies.
Ruchi Doshi has more than 16 years of academic, research and software development experience in Asia, Europe, and Africa. Currently she is working as an Associate Professor and Research Supervisor at the Azteca University, Mexico and Adjunct Professor at the Jyoti Vidyapeeth Women’s University, Rajasthan, India. She worked at the BlueCrest University College, Liberia, Africa; BlueCrest University College, Ghana, Africa; Amity University, India; Trimax IT Infrastructure & Services, India. She is interested in the field of Machine Learning and Cloud computing framework development. She has published research papers in peer-reviewed international journals and conferences; 3 Indian Patents; 3 books on Cloud Computing, Machine Learning, Mobile Cloud computing, Intelligent IoT Systems for Big Data Analysis and Mobile application development. She is Reviewer, Advisor, Ambassador and Editorial board member of various reputed International Journals and Conferences with IEEE, Springer, and Elsevier. She is an active member in organizing many international seminars, workshops, and conferences. She is nominated from by IEEE Headquarter, USA for the Chair, Women in Engineering (WIE) position in Liberia, West Africa.
