Computational Intelligence in the Industry 4.0

Dr. Anil Kumar Dubey has more than 10 years of teaching experience out of which, 6 years as Associate Professor and 8 years post PhD. Currently He is working as Associate Professor (CSE) ABES Engineering College Ghaziabad. Prior to this he worked as Associate Professor (CSE), Poornima Institute of Engineering & Technology, Jaipur. Dr. Dubey successfully filed 15 patents (12 National and 3 International Patents), out of which 6 patents are granted. He had published several textbooks and research papers in different International Journals and Proceedings of repute. He has received numerous awards including the Young Scientist, Best paper, Best Trainer. Dr. Dubey has organized more than 20 international conferences technically sponsored by IEEE, ACM, and Springer. Dr. Vikash Yadav, currently working as a Lecturer Computer in Department of Technical Education, Uttar Pradesh, India. He has completed his Ph.D. in Computer Science & Engineering from Dr. APJ Abdul Kalam Technical University (State Government University), Lucknow, U.P., India. He received his M.Tech. In Software Engineering from Motilal Nehru National Institute of Technology, Prayagraj, Allahabad, U.P. & B.Tech. in Computer Science & Engineering from U.P. Technical University, Lucknow, India. Dr. Yadav is a life membership of Computer Society of India (CSI), Life Member of IAENG. His research interests include, Data Mining, Image Processing & Machine Learning. Prior to the current assignment, he has worked for ABES Engineering College Ghaziabad. He is also the Editorial Board Member of the Journal recent Advances in Electrical & Electronic Engineering (Scopus Indexed Journal), Bentham Science Publication. He has published nearly 70 research papers in various International Journals (SCI/SCIE/Scopus) and Conferences of repute. He has edited 2 books from CRC Press and Bentham Science Publication and two are currently running, he also edited several special issues for SCI/SCIE/Scopus Journals. He also chaired several International conferences as a session chair. He has published 4 Indian Patents. He has more than Google scholar citations 450, H-index 12 and i-10 Index 15. Dr. Munesh Chandra Trivedi has more than 20 years of teaching experience out of which, 4 years as Professor and 13 years post PhD. Currently He is Working as Professor (CSE) NCERT, Faculty of Engineering and Technology, PSSCIVE Bhopal ( An apex institution of the Ministry of Education, Govt of India). Prior to this he worked as Associate Professor (CSE), National Institute of Technology Agartala, Tripura, India and Associate Professor and HoD (IT), Rajkiya Engineering College, Azamgarh, UP (State Govt. Institution of UP, India) with the additional responsibility of Dean Academics and Associate Dean (UG Programme), Dr. APJ Abdul Kalam Technical University, Lucknow (State Technical University). Dr. Chandra was also the Director (In-Charge) of Rajkiya Engineering College, Azamgarh. He successfully filed 63 patents (54 National and 9 International Patents (Germany, South Africa, and Australia)), out of which 27 patents are granted. He had published 12 textbooks and 153 research papers in different International Journals and Proceedings of repute. Dr. Chandra edited 38 books for Springer Nature. He has successfully supervised 14 PhD Students and received numerous awards including the Young Scientist Visiting Fellowship, Albert Einstein Research Scientist Award, Best Senior Faculty Award, Outstanding Scientist, Dronacharya Award, Author of Year, and Vigyan Ratan Award from different national, as well international forums. Dr. Chandra has organized more than 32 international conferences technically sponsored by IEEE, ACM, and Springer

1. Introduction to Automation. 2. RPA and Test Automation. 3. Intelligent Computing Relating to Cloud Computing. 4. Communication Protocols used for Industrial Automation. 5. Market Watch. 6. Study on Cybersecurity: Trending Challenges, Emerging Trends, and Threats. 7. Intelligence Approaches for Products, Operations, Systems, Service. 8. Parkison’s Disease Detection using Machine Learning Models. 9. A Comparison between Nonlinear Mapping and High-resolution Image. 10. Deployment Issues in Industrial Resolution. 11. Hate Speech Detection using Machine Learning Models. 12. Digital Twin Technology for Industrial Automation. 13. A Theoretical Analysis of Simple Retrieval Engine.