Machine Vision and Augmented Intelligence-Theory and Applications

Chapter 01: Modelling of Disease Transformation.- Chapter 02: Epidemic Forecast.- Chapter 03: COVID-19: Theory and practice.- Chapter 04: Image Processing and Computer Vision.- Chapter 05: Augmented Intelligence: Theory and Applications.- Chapter 06: Soft Computing: Theory and Applications.- Chapter 07: Deep Learning: Theory and Applications.- Chapter 08: Image Reconstruction.- Chapter 09: Artificial Intelligence in Healthcare.- Chapter 10: Brain Computer Interface.- Chapter 11: Cyber Security and Social Network Analysis.- Chapter 12: Natural Language Processing.- Chapter 13: Cryptography and Image Security.

Manish Kumar Bajpai is an assistant professor in the Department of Computer Science and Engineering at the Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India. He completed his Ph.D. from IIT Kanpur in the area of image reconstruction and parallel algorithm design. Dr. Bajpai has published over 50 publications in international journals and conferences. He has several sponsored research and consultancy projects funded by agencies such as SPARC, MHRD, DST, USIEF, ATAL, BRNS, and NVIDIA. 11 students have completed/pursuing their Ph.D. under his supervision. His areas of research are augmented intelligence, machine vision, brain-computer interface, medical imaging, and parallel algorithms design. Dr. Bajpai is a senior member of IEEE and a life member of the Indian Science Congress and Indian Nuclear Society.Koushlendra Kumar Singh is currently working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology, Jamshedpur, India. He completed his doctoral degree and master's program from the Indian Institute of Information Technology, Design, and Manufacturing, Jabalpur, India, in 2016 and 2011, respectively. Dr. Singh graduated in computer science and engineering from Bhagalpur College of Engineering, Bhagalpur, in 2008. He has published several papers in international refereed journals and conferences. His current research interest areas are image processing, biometrics, and different applications of fractional derivatives, computational modeling, epidemic forecasting, etc.