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      Computational Intelligence in the Industry 4.0

      AvAnil Kumar Dubey,Vikash Yadav

      Häftad, Engelska, 2025

      Del i serien Intelligent Data-Driven Systems and Artificial Intelligence

      800 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      This book discusses the importance of using industrial intelligence in collaboration with computational intelligence in forming a smart system for diverse applications. It further illustrates the challenges and deployment issues in industrial resolution. The text highlights innovation and applications of computational agents and the industrial intelligence era to automate the requirements as per Industry 4.0.This book:Discusses computational agents for handling automation issues and the role of ethics in industrial resolutionPresents intelligence approaches for products, operations, systems, and servicesIllustrates the fundamentals of computational intelligence to forecast and analyze the requirements of society for automation as well as recent innovations and applicationsHighlights computation intelligence approaches in reducing human effort and automating the analysis of the production unitShowcases current innovation and applications of computational agents and industrial intelligence as per Industry 4.0The text is primarily written for senior undergraduate and graduate students, and academic researchers in diverse fields including electrical engineering, electronics, and communication engineering, industrial engineering, manufacturing engineering and computer science, and engineering.

      Produktinformation

      • Utgivningsdatum:2025-12-25
      • Mått:156 x 234 x 14 mm
      • Vikt:480 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Intelligent Data-Driven Systems and Artificial Intelligence
      • Antal sidor:250
      • Förlag:Taylor & Francis Ltd
      • ISBN:9781032765570

      Utforska kategorier

      • Maskinteknik och material inom Naturvetenskap och teknik
      • Energiteknik inom Naturvetenskap och teknik
      • Informationsteknik: allmänt inom Data och IT

      Mer om författaren

      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

      Innehållsförteckning

      • 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.
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