Intelligent Internet of Things for Smart Healthcare Systems
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The book focuses on developments in AI and IoT integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence are also included.
•Introduces Intelligent IoT as applicable to key areas towards smart healthcare.
•Discusses computational Intelligence and IoT based optimizations of smart healthcare systems
•Explores effective management of healthcare systems using dedicated IoT based infrastructures
•Includes dedicated chapters on securing patient’s confidential data
•Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approaches
This book is aimed at researchers, professionals and graduate students in intelligent system, big data, cloud computing, information security, and healthcare systems.
Table of Contents
1. Internet of Things in Smart & Intelligent Health care System
Akarsh K Nair and Jayakruhsna Sahoo
2. Applications of Intelligent Internet of Things for Smart Healthcare Systems
Rohit Mittal, Vibhakar Pathak, Amit Mithal
3. Technological Shift of Healthcare System Using Internet of Things (IoT)
Gauri Shanker Gupta, Shishir Singh Chauhan, Mrinal Kumar Pathak and Rakesh Kumar Sinha
4. IoT-Based Smart Healthcare System (Shcs): Big Data Mangement And Information Security Using Cloud Data Governance
Dr Shantha Visalakshi Upendran
5. Information Security and Data Management for IoT Enabled Smart Healthcare
Maram Bani Younes and Nameer N. El-Emam
6. AI-assisted Big Data Analytics for Smart Health Care Systems
Akruti Sinha, Devika Sapra, Gaurav Gaurav, Mahin Anup and Deepak Sinwar
7. Cloud computing assisted real-time health monitoring and tracking
Amro Al-Said Ahmad and Nameer N. El-Emam
8. A Big Advancement In Healthcare: Supervision Of Worldwide Healthcare Through An Iot-Based System
Santosh Kumar Srivastava, Hare Ram Singh, Sunil Kumar Maakar, Durgesh Srivastava, Praveen Kantha
9. Examine the Semantic similarity based on Association measurement among biomedical concepts in Health Domain
Ahmad. K. Alkayed and Abdelhakeem Abdelrahman
10. Internet of things (IoT): An emerging approach for Pharmaceutical and Healthcare system
Dr. SmritiOjha, Sudhanshu Mishra, Akhalesh Kumar and Disha Sharma
11. Blockchain technology implications for healthcare systems using the Internet of Things: A systematic Literature review
Maryam Aljabri and Jabar H. Yousif
12. Deep Learning Approach for Classification of Alzheimer's disease
Abbas H. HassinAlasadi and Faten Salim Hanoon
13. Plant Disease identification using Convolution Neural Network
Dipra Mitra, Shikha Gupta, Durgesh Srivastava, Sudeshna Sani
14. An Accurate Study of the Quality of Health Coinciding with the Process of Handwriting
Atika Fatma and Shivam Tiwari
15. E-nose sensors applications and challenges in the health sector
Sanad Al-Maskari, Saeid Hosseini, Eimad Abusham
Durgesh Srivastava is an Associate Professor, at Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. He received his PhD degree in Computer Science & Engineering from IKG Punjab Technical University, Jalandhar, Punjab, India in 2020. He received B. Tech. degree in Information & Technology (IT) from MIET, Meerut, UP in 2006 and ME in Software Engineering from Birla Institute of Technology (BIT), Mesra, Ranchi, Jharkhand, India in 2008. He is an enthusiastic and motivating technocrat with 14 years of research and academic experience. His research interests include Machine Learning, Soft Computing, Pattern Recognition, Software engineering, modelling, design, etc. He has published more than 30 papers in reputed international/national journals and conferences/seminars. As per editorial experience is concerned, he is serving as an editor for CRC Press (Taylor & Francis). He has published several patents and copyrights in the field of computer software. He has organized and attended various workshops during his teaching career. He is a life member of a different professional society.
Neha Sharma working as Assistant Professor in Computer Science and Engineering Department in Chitkara University, Rajpura. She has received the M.Tech.(CSE), Ph.D. (Computer Science) degree in the area of Computer Science with vast teaching experience of 11 Years in reputed organisation. She has more than 15 international publications in the reputed peer reviewed journals including IEEE xplore, SCOPUS and SCI indexed. Her main area of research is the Image processing, Machine learning, Deep Learning, Cyber Security. She has also published several National & International Patents under the Intellectual Property Rights of Government of India & Abroad. She is actively associated in NAAC preparations at Universities interface. She is associated in many highly impact society membership like IEEE (Senior Member), ACM, ISTE (Life-time Member).
Deepak Sinwar is an Associate Professor at the Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India. He received his Ph.D and M.Tech degrees in Computer Science and Engineering respectively; and B.Tech (with honors) in Information Technology. He has published more than 30 research papers in various international journals and more than 15 research papers at international conferences. As per editorial experience is concerned, he is serving as an editor for reputed publishers including CRC Press (Taylor & Francis), Scrivener (Wiley), IGI Global, etc. He has published several patents copyrights in the field of computer software. He is the organizing chair of international conferences on Innovations in Computational Intelligence and Computer Vision (ICICV-2022, ICICV-2021, and ICICV-2020) supported by Springer. Recently he has been awarded “Top Researcher of the Year – 2021” by Manipal University Jaipur, India. He has organized and attended various workshops during his teaching career. His research interests include Computational Intelligence, Data Mining, Machine Learning, Reliability Theory, Computer Networks, and Pattern Recognition. He is an enthusiastic and motivating technocrat with 12 years of research and academic experience. He is a life member of the Indian Society for Technical Education, a senior member of IEEE, and a member of the ACM professional society.
Jabar H. Yousif is Associate Prof. at Faculty of Computing and Information Technology, Sohar University, Oman. Ph.D. in Information Science & Technology, M.Sc. & B.Sc. in Computer Science. Postdoctoral fellowship in Virtual Reality. More than 25 years of teaching experience. He has published more than 90 papers & books in Artificial Intelligent, Cloud Computing, Soft Computing, Artificial Neural Networks, Natural Language Processing, Arabic text Processing & Virtual Reality. Editorial board & reviewer for many scientific journals and conferences.
Hari Prabhat Gupta is an Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, INDIA. Previously, he was a Technical Lead in Samsung R&D Bangalore, India. He received his Ph.D. and M.Tech. degrees in Computer Science and Engineering from Indian Institute of Technology Guwahati; and his B.E. degree in Computer Science and Engineering from Govt. Engineering College Ajmer, India. He is a senior member of IEEE. He has published more than 100 papers and finished multiple projects in the domain of Internet of things (IoT), Wireless Sensor Networks (WSN), and Human-Computer Interaction (HCI).