Intelligent Manufacturing

Auteur

Dr. Navroop Kaur is an independent researcher based in the United Kingdom. Previously, she was an Assistant Professor at Akal University, Talwandi Sabo, India. She holds a Ph.D. in Computer Science and Engineering, with a focus on the Internet of Things (IoT) and Big Data. With over a decade of research and teaching experience, Dr. Kaur has made significant contributions to her field through numerous publications in SCI, Scopus-indexed journals, and conferences. Her research expertise is widely recognized, and she has been awarded for her academic excellence, including a notable accolade for being the top student in her Master's program. Currently, Dr. Kaur's research interests are centered on digital twins and MLOps (Machine Learning Operations).

Dr. Sita Rani works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. Previously, she has worked as Professor and Deputy Dean Research at Gulzar Group of Institutions, Khanna, India. She earned her Ph.D. in Computer Science and Engineering from I.K. Gujral Punjab Technical University, Kapurthala, Punjab in 2018 and completed the Post Graduate Certificate Program in Data Science and Machine Learning from Indian Institute of Technology, Roorkee in 2023. She has also completed her Postdoc from Big Data Mining and Machine Learning Lab, South Ural State University, Russia in August 2023. She has more than 20 years of teaching experience and is an active member of ISTE, IEEE and IAEngg. She is the receiver of ISTE Section Best Teacher Award- 2020, and International Young Scientist Award-2021. She has published several international patents and authored/edited/coedited 12 books. Dr. Rani is also the vice-president of SME and MSME (UT Council), Women Indian Chamber of Commerce and Industry (WICCI) from last 3 years. Her research interests include Data Science, Machine Learning, Internet of Things (IoT), and Smart Healthcare.

Professor Gurpreet Dhillon holds the G. Brint Ryan Endowed Chair of Artificial Intelligence and Cybersecurity at the University of North Texas, USA. He also holds honorary appointments at the University of KwaZulu-Natal, South Africa, and the University of Lisbon, Portugal. Gurpreet earned a Ph.D. from the London School of Economics and was awarded an Honorary Doctorate from Örebro University, Sweden, in 2019. Several of his research papers have been published in FT50 journals. He is the author of over a dozen books, including a best-selling cybersecurity graduate textbook. Additionally, his expertise has been featured in prominent media outlets such as the Wall Street Journal, the New York Times, USA Today, Business Week, CNN, NBC News, NPR, and TEDx, among others.

Dr. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates and an Adjunct Professor at School of Technology, Woxsen University, India. He is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. Elngar is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. He has more than 150 scientific research papers published in prestigious international journals and over 35 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. He is a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems.

Texte du rabat

Intelligent Manufacturing delves into the challenges of incorporating AI-driven frameworks and standards into the smart industry landscape. It explores the integration of these advanced technologies into Industry 4.0 and presents a comprehensive overview of their potential impact on industrial processes.

Résumé
Intelligent Manufacturing delves into the challenges of incorporating AI-driven frameworks and standards into the smart industry landscape. It explores the integration of these advanced technologies into Industry 4.0 and presents a comprehensive overview of their potential impact on industrial processes.

Contenu

1. Introduction. 2. Intelligent Manufacturing in Industry 4.0. 3. IoT and Big Data Analytics in Intelligent Manufacturing: Advanced Image Retrieval Techniques. 4. Blockchain in Supply Chain Management Industry: A New Era in Manufacturing Industry. 5. OptiGAN. Advancing Plant Stress Detection with AI in IIoT-Driven Manufacturing. 6. Transforming Global Communication: Multilingual Neural Machine Translation for Sustainable Manufacturing. 7. Robotics and Automation in Manufacturing Processes. 8. Metaverse and Smart Manufacturing: A New Dimension in Weather Forecast and its Visualization using Augmented Reality (AR) and Mobile App. 9. Addressing Security Concerns in Intelligent Manufacturing: Exploring Enhanced Authentication Key Generation.