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This book presents the most recent challenges and developments in sustainable computing systems with the objective of promoting awareness and best practices for the real world. It aims to present new directions for further research and technology improvements in this important area.
List of contents
Preface.- Mobile and Pervasive Computing for Urban Development.- Web Intelligence and Data Mining in Urban Areas.- Signal Processing Architectures, Algorithms and Human Machine Interactions in Urban Applications.- Biomedical Informatics and Computation in Urban E-Health.- Artificial Intelligence and Machine Learning for Future Urban Development.- Energy Efficient Network Selection for Urban Cognitive Spectrum Handovers.- Social Relationship Ranking on the Smart Internet.- Cognitive Radio Communication and Applications for Urban Spaces.- Machine Learning and Big Data for Smart Generation.- Smart Sensor Networking and Green Technologies in Urban Areas.- Index.
About the author
Dr. Anandakumar Haldorai, Professor (Associate) and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India. He has received his Master’s in Software Engineering from PSG College of Technology, Coimbatore and PhD in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Big Data, Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 82 research papers in reputed International Journals and IEEE conferences. He has authored 7 books and many book chapters with reputed publishers such as Springer and IGI. He is editor of Inderscience IJISC and served as a reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Elsevier, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in several conferences. He is senior member of IEEE, IET, ACM and Fellow member of EAI research group.
Dr. Arulmurugan Ramu is a Professor, Presidency University, Bangalore, India. His research focuses on the automatic interpretation of images and related problems in machine learning and optimization. His main research interest is in vision, particularly high-level visual recognition. He has authored more than 35 papers in major computer vision and machine learning conferences and journals. He is the recipient of Ph.D. degrees in Information and Communication Engineering from the Anna University at Chennai, M.Tech in Information Technology Anna University of Technology and B.Tech degree in Information Technology. He is guided many Ph.D. research scholar under the area of Image Processing using Machine Learning. He is an Associate Editor of Inderscience IJISC journal. He is awarded as Best Young Faculty Award 2018 and nominated for Best Young Researcher Award (Male) byInternational Academic and Research Excellence Awards (IARE-2019).
Prof. Suriya Murugan has received BE in Information Technology from Avinashilingam University and Master’s in Computer Science and Engineering from Anna University of Technology, Coimbatore. She is pursuing PhD in Information and Communication under Anna University, Chennai. She is currently an Assistant Professor in the Department of Computer Science and Engineering, KPR Institute of Engineering and Technology. Her research areas of interest include Artificial Intelligence, Big Data and Wireless Communication. She has authored more than 25 research papers in refereed International Journals and IEEE conferences and has published 6 book chapters with reputed publishers. She is a certified NVIDIA DLI Ambassador for “Fundamentals of Computer Vision”. She is a member of IEEE, CSI and IAENG.
Summary
This book presents the most recent challenges and developments in sustainable computing systems with the objective of promoting awareness and best practices for the real world. It aims to present new directions for further research and technology improvements in this important area.
