E-raamat: Smart Manufacturing with AIoT: Signal Processing, Computer Vision, and Data Analytics [Taylor & Francis e-raamat]

Chapter 1: Deep Learning-Based Improved Gait Recognition Using 3D
Skeletal Data for Smart Surveillance Systems,
Chapter 2: IoT-Based Automated
Fog Detection System Using kNN and Real-Time Meteorological Data Analytics,
Chapter 3: Intelligent Waste Classification Framework Based on Machine
Learning and Deep Learning for Smart City Application,
Chapter 4: AI-Powered
Data Analytics for Optimizing Tea Tourism: An Investigation on Determinants
and Destination Information,
Chapter 5: Substation Level Short-Term Load
Forecasting Using Graph-Based Signal Processing and Machine Learning
Algorithms,
Chapter 6: AI-Based Histopathological Image Analysis for Breast
Cancer Diagnosis Using Deep and Machine Learning Algorithms,
Chapter 7:
AI-Optimized Active Cell Balancing Technique Using Single Inductor for
Intelligent Battery Management in IoT-Enabled Energy Systems,
Chapter 8:
Integrated Simulation and Hardware-in-the-Loop Analysis of ISO15118-Based
Smart EV Charging Communication Systems,
Chapter 9: AI-Driven Analysis of Air
Gap Eccentricity Effects in PMSM for Condition Monitoring in Smart Industrial
Systems,
Chapter 10: Deep Convolutional Neural Network-Based Smart Diagnostic
System for Enhanced Breast Cancer Detection

Dr. Keyurkumar Patel, who earned his Ph.D. in Robotics and AI Engineering from IITRAM (2020), currently serves as an assistant professor at Rashtriya Raksha Universitys School of IT, Artificial Intelligence, and Cyber Security, an institute of national importance under Indias Ministry of Home Affairs. With previous experience at Karnavati University, the Institute of Advanced Research, and a public sector unit under the Ministry of Heavy Industries, he has published in prestigious journals, including IEEE Transactions on Industrial Informatics. His research spans IoT security, robotics, AI, deep learning, quantum machine learning, computer vision, and medical imaging, and he recently developed a Centre of Excellence Lab for Emerging Technologies with SAP Indias support.

Dr. Ankit D. Oza is currently working as a research professor at Parul University, Vadodara, Gujarat. He received his Ph.D. in Industrial Engineering from Pandit Deendayal Petroleum University (PDPU), Gandhinagar, India. His major research areas include nontraditional and hybrid micromachining processes and their applications. Additionally, he is working on AI and IoTbased manufacturing processes. He has published more than 70 articles and over 30 conference papers. He holds more than 45 national and international patents and has also delivered expert talks at various prestigious universities and colleges. He is also a reviewer for a number of prestigious journals.

Dr. Ankit Sharma holds the position of head of the Publications Division of the Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab, India. He received his Ph.D. in Mechanical Engineering from the Thapar Institute of Engineering and Technology, India. He has more than 10 years of experience in academics, research, consulting, training, and industry. He has authored numerous national and international publications in SCI, Scopus, and Web of Scienceindexed journals and has filed/published over 30 international patents. He is also the book series editor of Innovations in Smart Manufacturing for LongTerm Development and Growth for CRC Press, Taylor & Francis Group. He has delivered several invited seminars and keynote talks on international platforms (USA, China, India) and has been awarded best research paper awards.

Dr. Archana Mantri holds a Ph.D. in Electronics and Communication Engineering with 30 years of experience across research, academics, and administration. Her expertise spans project management, problembased learning, curriculum development, and pedagogical innovation, with interests in education technology, cognitive sciences, and augmented reality. A prolific scholar with numerous publications in reputable journals, she has received prestigious awards, including Excellence in Education Leadership, and holds several patents in educational technology. Dr. Mantri has led international research projects and guided Ph.D. and M.E. scholars. He serves as an advisor to IUCEE, a senior member of IEEE, and a member of the Global Engineering Deans Council, continuing to drive innovation in education through her research leadership.

Dr. Hreetabh Kishore received his Ph.D. degree in Mechanical Engineering from Indian Institute of Technology Ropar, Rupnagar, Punjab, India. Presently, he is working in the Department of Manufacturing and Engineering Technology, Tennessee Tech University, Cookeville, Tennessee, USA. Dr. Kishore is an enthusiastic teacher who embraces studentfocused approaches in his teaching, providing realtime learning to his students. He has attended two international conferences funded by DST, India Travel Grant. He is working on AI and IoTbased manufacturing processes and other related areas. He has published several publications in the peerreviewed journals, and few are in under review, more than 21 international conference papers has been presented and published worldwide. He has also contributed to intellectual properties as filling the Patent in the advanced engineering domain.