Academic Press Cognitive Systems and Signal Processing in Image Processing (Cognitive Data Science in Sustainable Computing)

Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time. Review Reports the latest progress in the cognitive big data and sustainable computing From the Back Cover <p><i>Cognitive Systems and Signal Processing in Image Processing</i> presents different frameworks and applications of Cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data & Cognitive AI.</p> <p>It presents the amalgamation of Cognitive Systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in the cognitive big data and sustainable computing. In this book the readers can be familiarized with versatile applications and methods of using signal processing and AI to deal with realistic applications.</p> <p>Various real-time case studies and implemented works are discussed in this book for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyse emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time.</p> About the Author Yu-Dong Zhang received his Ph.D. from Southeast University. He worked as postdoc from 2010 to 2012 in Columbia University, USA, and as an assistant research scientist from 2012 to 2013 at the Research Foundation of Mental Hygiene, USA. He served as a full professor from 2013 to 2017 in Nanjing Normal University, where he was the founding director of Advanced Medical Image Processing Group in NJNU. He currently works as a professor in the Department of Informatics, University of Leicester, UK. His research interests include deep learning, convolutional neural networks, graph convolutional networks, attention networks, explainable AI, advanced AI applications, medical image analysis, bio-inspired computing, pattern recognition, transfer learning and medical sensors. Dr. Arun Kumar Sangaiah received his Master of Engineering from Anna University and Ph.D. from VIT University, India. He is currently as a Professor at the School of Computing Science and Engineering, VIT University, Vellore, India. His areas of research interest include machine learning, Internet of Things, Sustainable Computing. Moreover, he has holding visiting professor positions in China, France, Japan, South Korea. Further, he has been visited many research centers and universities in China, Japan, France, Singapore and South Korea for join collaboration towards research projects and publications. Dr. Sangaiah’s outstanding scientific production spans over 200+ contributions published in high standard ISI journals, such as IEEE-TII, IEEE-Communication Magazine, IEEE Systems and IEEE IoT. In addition, he has authored/edited 8 books (Elsevier, Springer and others) and edited 50 special issues in reputed ISI journals, such as IEEE-Communication Magazine, IEEE-TII, IE