This new volume covers a diverse range of advances in intelligent systems that involve applications of AI and digital automation, such as machine learning, deep learning, sectional convolutional neural network models, and much more. It explores advances in predictive analysis, such as using AI for leukemia detection and other diseases, strategic decision-making models using data analytics, video object detection using convolution, CNN-based mask detection, medical image watermarking using RDWT-SVD-DCT, and more.
Manisha Guduri, PhD, is an Instructor at the University of Louisiana at Lafayette, USA. She is the author/coauthor of more than 62 research papers in reputed journals, book chapters, and international conferences. Her research interests include artificial intelligence, biomedical applications, and VLSI/CAD design. She is currently working on VLSI and AI in the biomedical field. She has published five patents, of which two are under FER. She received one patent grant. She is a reviewer for IEEE TVLSI, Microelectronics Journal, IET Digital Dircuits, IEEE Journal of Biomedical and Health Informatics, etc. She has one ongoing funded project from the Department of Science and Technology. She is chair of the IEEE Lafayette section, Region 05.
Uma Maheswari V., PhD, is an Associate Professor of Computer Science and Engineering at Chaitanya Bharathi Institute of Technology, Hyderabad. She has published research articles, authored one book, and edited a book on computer vision and image processing. Additionally, she has been a guest editor for the International Journal of Data Analysis Techniques and Strategies. She has coordinated a TEDxVCE, organized technical programs, and participated as a technical committee member and reviewer for SCI- and Scopus indexed journals and conferences.
Rajanikanth Aluvalu, PhD, is a Professor and Director at the Symbiosis Institute of Technology, Hyderabad, India. He was previously Professor and Head of the Department of Computer Science and Engineering at Vardhaman College of Engineering, India. He also served as Vice Chair of the Entrepreneurship and Startup Committee, as well as Treasurer and Secretary of the IEEE Computer Society, Hyderabad Section. He was Editor of the International Journal of Data Mining, Modelling and Management and Academic Editor for the PeerJ Computer Science journal.
Amit Krishna Dwivedi, PhD, is an Assistant Professor of Electrical and Electronic Engineering at the School of Engineering, University of Warwick, UK. He was previously a Lecturer/Assistant Professor of Electronic and Electrical Engineering at Manchester Metropolitan University, UK, and a researcher with the Diagnostic Imaging Center, Kuopio University Hospital in Finland. He has published research papers and written book chapters.
Martin Margala, PhD, is a Professor of Computer Science, Director of School of Computing and Informatics, Endowed Chair of Computer Science Eminent Scholar, and Fulbright Distinguished Chair, School of Computing and Informatics at the Ray P. Authement College of Sciences of the University of Louisiana at Lafayette, USA. Before joining UL Lafayette, Dr. Margala was Professor and Chair of the Electrical and Computer Engineering Department at the University of Massachusetts Lowell.
