Classical and Quantum Principal Component Analysis in Data Engineering

Abhishek Kumar, PhD is an Assistant Director and Associate Professor in the Computer Science and Engineering Department at Chandigarh University, Punjab, India with more than 13 years of experience. He has published more than 50 books and more than 170 publications in reputed, peer-reviewed national and international journals, books, and conferences. His research areas include artificial intelligence, renewable energy image processing, computer vision, data mining, and machine learning.  J.P. Ananth, PhD is a Professor and Dean in the Internal Quality Assurance Cell at the Sri Krishna College of Engineering and Technology, Coimbatore, India. His research work has been documented in many journals and serves as a reviewer for several international journals and conferences. His research interests include computer vision, pattern recognition, artificial intelligence, and data analytics.S. Oswalt Manoj, PhD is an Associate Professor in the Department of Computer Science and Engineering at the Sri Krishna College of Engineering and Technology, Tamil Nadu, India. He has more than 100 publications in reputed, peer-reviewed national and international journals, books, and conferences, three published books, and ten patents. His research areas include big data analytics, artificial intelligence, computer vision, machine learning, deep learning, and cloud computing.Navneet Kaur, PhD is a Professor in the Department of Computer Science and Engineering at Chandigarh University, Mohali, India. She has published many research articles in reputed journals, conferences, and book chapters. Her research interests include wireless sensor networks, wireless body area networks, AI, and cloud computing.A. Jayanthiladevi, PhD is a Professor of Computer Engineering at Marwadi University. With a strong commitment to ground-breaking research, she has published numerous impactful works in international journals and conferences. Her expertise spans computational life sciences, artificial intelligence, mobile communications, machine learning, quantum computing, and health informatics.