The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering).
This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains.
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Dr. M.A.JABBAR is a Professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India. He obtained Doctor of Philosophy (Ph.D.) in the year 2015 from JNTUH, Hyderabad, and Telangana, India. He has been teaching for more than 20 years. His research interests include Artificial Intelligence, Big Data Analytics, Bio-Informatics, Cyber Security, Machine Learning, Attack Graphs, and Intrusion Detection Systems.
Dr. Sheng-Lung Peng obtained Doctor of Philosophy in Computer Science, National Tsing Hua University, Taiwan, 1999.Thesis: A study of graph searching on special graphs. He is a Professor, Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan. Presently he is a Director, Information Service Association of Chinese Colleges, Taiwan and Taiwan Regional Contest Director of ACM-ICPC.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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