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This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques along with IoT used by practitioners and researchers worldwide. CONTENTS: About the Authors / Editors: Editors: Krishna Kant Singh, PhD Associate Professor, Electronics & Communication Engineering, KIET Group of Institutions, Ghaziabad, India Krishna Kant Singh, PhD, is an Associate Professor in Electronics & Communication Engineering at the KIET Group of Institutions, Ghaziabad, India. He has wide teaching and research experience. He has authored more than 50 research papers in Scopus- and SCIE-indexed journals of repute. He has also authored 25 technical books. He is also an associate editor of the Journal of Intelligent & Fuzzy Systems, IEEE ACCESS (SCIE), and a guest editor of Open Computer Science. He is also member of editorial board of Applied Computing & Geoscience (Elsevier). Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) degrees in the area of image processing and remote sensing. Akansha Singh, PhD Associate Professor, Department of Computer Science and Engineering, ASET, Amity University, Noida, India Akansha Singh, PhD, is an Associate Professor in the Department of Computer Science and Engineering, ASET, Amity University, Noida, India. She has to her credit more than 40 research papers, 20 books, and numerous conference papers. She has been the editor for books on emerging topics with publishers like Elsevier, Taylor and Francis, Wiley, etc. Dr. Singh has served as a reviewer and technical committee member for multiple conferences and journals of high repute. She is also the Associate Editor for IEEE Access journal, which is an SCI journal with impact factor of 4.018. Dr. Singh has also undertaken a government-funded project as a principal investigator. Her research areas include image processing, remote sensing, IoT, and machine learning. She holds BTech, MTech, and PhD degrees in Computer Science, with her PhD from IIT Roorkee in the area of image processing and machine learning. Jenn-Wei Lin Professor, Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taiwan Jenn-Wei Lin, PhD, is currently a full professor with the Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taiwan. Prior to that, he was a Researcher with Chunghwa Telecom Co., Ltd., Taoyuan, Taiwan, from 1993 to 2001. His current research interests include cloud computing, mobile computing and networks, distributed systems, and fault-tolerant computing. Dr. Lin received his MS degree in computer and information science from National Chiao Tung University, Hsinchu, Taiwan, and his PhD degree in electrical engineering from National Taiwan University, Taipei, Taiwan. Ahmed A. Elngar, PhD Founder and Head of Scientific Innovation Research Group (SIRG); Assistant Professor of Computer Science, Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef, Egypt Ahmed A. Elngar, PhD, is the Founder and Head of Scientific Innovation Research Group (SIRG) and Assistant Professor of Computer Science at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef, Egypt, where he is also a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Information. Dr. Elngar has more than 25 scientific research papers published in prestigious international journals and over five books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. Dr. Elngar is a collaborative researcher. He is a member of the Egyptian Mathematical Society (EMS) and the International Rough Set Society (IRSS). His other research areas include Internet of Things (IoT), network security, intrusion detection, machine learning, data mining, artificial intelligence, big data, authentication, cryptology, healthcare systems, and automation systems. He is an editor and reviewer of many international journals. Dr. Elngar has won several awards, including the Young Researcher in Computer Science Engineering from the Global Outreach Education Summit and Awards 2019, in Delhi, India. He also received Best Young Researcher Award (Male) (under 40 years), Global Education and Corporate Leadership Awards (GECL–2018). Also, he hold the intellectual property rights called “ElDahshan Authentication Protocol,†from the Information Technology Industry Development Agency (ITIDA), Technical Report, 2016. Dr. Elngar participates in many activities in the community and in environmental services, include organizing workshops hosted by universities in almost all the governorates of Egypt. He has also organized a workshop on smartphone techniques and their role in the development of visually impaired skills in various walks of life. Dr. Elngar received his PhD from the Faculty of Computers and Artificial Intelligence, Computer Science Department, Beni-Suef University, Egypt. |
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