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Intelligent Internet of Things for Smart Healthcare Systems

ISBN-13: 9781032352862 / Angielski / Twarda / 2023 / 304 str.

Intelligent Internet of Things for Smart Healthcare Systems  9781032352862 Taylor & Francis Ltd - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Intelligent Internet of Things for Smart Healthcare Systems

ISBN-13: 9781032352862 / Angielski / Twarda / 2023 / 304 str.

cena 536,56
(netto: 511,01 VAT:  5%)

Najniższa cena z 30 dni: 528,93
Termin realizacji zamówienia:
ok. 22 dni roboczych
Dostawa w 2026 r.

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inne wydania

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, including connectivity and intelligent networks.

Kategorie:
Nauka, Pedagogika i oświata
Kategorie BISAC:
Computers > Machine Theory
Computers > Computer Engineering
Technology & Engineering > Electrical
Wydawca:
Taylor & Francis Ltd
Seria wydawnicza:
Advances in Smart Healthcare Technologies
Język:
Angielski
ISBN-13:
9781032352862
Rok wydania:
2023
Ilość stron:
304
Wymiary:
23.4 x 15.6
Oprawa:
Twarda
Dodatkowe informacje:
Bibliografia
Wydanie ilustrowane

1. Internet of Things in Smart and Intelligent Healthcare Systems  2. Applications of i-IoT for Smart Healthcare Systems  3. Technological Shift of the Healthcare System Using IoT  4. IoT-Based Smart Healthcare Systems: Cloud  Data Governance  5. Information Security and Data Management for IoT Smart Healthcare  6. AI-Assisted Big Data Analytics for Smart Healthcare Systems  7. Cloud Computing-Assisted Real-time Health Monitoring and Tracking  8. Supervision Of Worldwide Healthcare through An IoT-based System  9. Semantic Similarity Based on Association Measurement  10. IoT: Emerging Approach for Pharmaceutical and Healthcare Systems  11. Blockchain Technology Effects on Healthcare Systems Using the IoT  12. Deep Learning Approach for Classification of Alzheimer's Disease  13. Plant Disease Identification Using Convolution Neural Networks  14. Study of Health Quality Coinciding with the Handwriting Process  15. e-Nose Sensor Applications and Challenges in the Health Sector

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).



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