Cognitive Computing for Internet of Medical Things
Chapman & Hall/CRC (Verlag)
978-1-032-18788-4 (ISBN)
Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.
Key Features
Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications
Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications
Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems
Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems
Focuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systems
This book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.
Dr. A Prasanth presently working as an Assistant Professor at Sri Venkateswara College of Engineering, Sriperumpudur, India. He received the B.E. degree in Electronics and Communication Engineering from Anna University, Chennai and the M.E degree in Computer Science and Engineering (with specialization in Networks) from Anna University, Chennai and also received the Ph.D degree in Information and Communication Engineering from Anna University, Chennai, India. Recently, he has received the Young Scientist Award from International Scientist Award 2020 for his excellent research performance. Next, he has received Researcher of the Year Award 2020 from "2nd International Business and Academic Excellence Awards (IBAE)", at Delhi, held on 26/12/2020. Moreover, he has received the Young Researcher Award from "Institute of Scholars Awards" 2020. He has published more than 25 research articles in reputed International Journals among which 7 articles are indexed in SCI and 15 articles are indexed in Scopus. He has published and granted two patents. Further, he has published more than 8 Books under reputed publishers. He has served as Resource person in 20 AICTE Sponsored STTP programs. Moreover, he has served as Editorial Board Member in various reputed SCI Journals. He has 8 years of teaching experience and his research interests include Internet of Things, Edge Computing, Cloud Computing and 5G network. Dr. Lakshmi D, presently working as a Senior Associate Professor (Grade 2) in School of Computer Science and Engineering at VIT Bhopal University, Madhya Pradesh, India. Till February 2021, she was designated as an Educational Research Officer at Vishnu Educational Development and Innovation Centre (VEDIC) and Associate Professor at B V Raju Institute of Technology run by Shri Vishnu Educational Society, Hyderabad from 2016 to Feb 2021. She has been working in the educational sector since 1998. Her key focus is on exploring the dynamics of learning, dynamics of learner and classroom dynamics, suitable to accelerate the learning efficacy of higher education students. With her expertise she has delivered a session more than 150 on various titles. Her research areas include machine learning, deep learning and Internet of Things, educational technology, educational data mining, virtual education and educational psychology. She holds a PhD degree in Information and Communication Engineering by the Anna University Chennai, India. She has published 28 articles in various journals and conference proceedings and contributed chapters to the books. She has won two best paper awards one in IEEE and one in Springer conference. One book publication titled on "Theory of Computation", 7 Indian patents provisionally published and waiting for examinations and filed 1 copyrights waiting for grant. 1 Copyright has been granted, 2 Australian patent have been granted and one is filed and waiting for a grant. Dr. Rajesh Kumar Dhanaraj is an Associate Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, U.P, India. He holds a PhD degree in Information and Communication Engineering by the Anna University, India. He has presented papers at conferences, published articles and papers in various journals, and contributed a chapter to the books. His research and publication interests include Wireless Sensor Networks and Cloud Computing. He is an Expert Advisory Panel Member of Texas Instruments Inc USA. Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 14 years of experience with VIT University, Vellore. He had completed his Bachelors, Masters and PhD Degrees from Top premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 30+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 150 of quality journal, conference and book chapters combined. He serves in the advisory committee for several startups and forums and does consultancy work for industry on Industrial IOT. He has given over 175 talks in various events and symposium. He is currently working as a professor at Galgotias University and teaches students, does research on Blockchain and IOT. Dr. Sherimon P C is presently working as a Faculty of Computer Studies, Arab Open University, Oman. He has 22 Years of International Experience in Administration, Teaching and Research in University. He has completed numerous research projects and consultancy projects too. His Google Scholar citation is 316, h-index is 7 and i10 index is 6.
1. Towards the Internet of Things and its Applications: A review on Recent Innovations and Challenges. 2. Introduction to Cognitive Computing. 3. IoT with 5G in Health care systems. 4. Communication protocols for IoMT based healthcare systems. 5. Security and Privacy of biomedical data in IoMT. 6. Cyber security threats to IoMT enabled Healthcare System. 7. Using Self Organizing Map Find the Heart Risk Based On Body Mass Index. 8. Embedded the Medical IoT Devices for Monitoring and Diagnosing The Patient Health to Rural areas peoples using IoMT Technology. 9. Case Studies: Cancer Prediction and Diagnosis in IoMT Environment. 10. A Deep Exploration of Imaging Diagnosis Approaches for IoMT based Corona Virus Disease of 2019 diagnosis system – A Case study
| Erscheinungsdatum | 06.12.2022 |
|---|---|
| Zusatzinfo | 26 Tables, black and white; 47 Line drawings, black and white; 24 Halftones, black and white; 71 Illustrations, black and white |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 594 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Naturwissenschaften ► Biologie | |
| ISBN-10 | 1-032-18788-3 / 1032187883 |
| ISBN-13 | 978-1-032-18788-4 / 9781032187884 |
| Zustand | Neuware |
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