000			05955cam a22005298i 4500
001			9781003315476
003			FlBoTFG
005			20240213122834.0
006			m o d
007			cr |||||||||||
008			220913s2023 flu ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9781003315476 _q(ebook)
020			_a100331547X
020			_a9781000831368 _q(electronic bk. : PDF)
020			_a1000831361 _q(electronic bk. : PDF)
020			_a9781000831399 _q(electronic bk. : EPUB)
020			_a1000831396 _q(electronic bk. : EPUB)
020			_z9781032325279 _q(hardback)
020			_z9781032325286 _q(paperback)
024	7		_a10.1201/9781003315476 _2doi
035			_a(OCoLC)1363105035
035			_a(OCoLC-P)1363105035
050	0	0	_aR859.7.A78
072		7	_aCOM _x059000 _2bisacsh
072		7	_aMQW _2bicssc
082	0	0	_a610.285/63 _223/eng/20230120
245	0	0	_aPractical artificial intelligence for internet of medical things : _bemerging trends, issues, and challenges / _cedited by Ben Othman Soufiene, Chinmay Chakraborty, Faris A. Almalki.
250			_aFirst edition.
264		1	_aBoca Raton : _bCRC Press, _c2023.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aIoT-based Telemedicine Network Design : Implementation of a Smart Health Monitoring System in COVID-19 / Anirban Bhattacharyya and Pratik Chatterjee -- Detection and Evaluation of Operational Limitations of Internet Infrastructure of Critical Systems Based on the Internet of Medical Things in Smart Homes / Enes Açıkgözoğlu and Ziya Dirlik -- Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters : A Case Study Implementation / Aso M. Aladdin, Jaza M. Abdullah, Kazhan Othman Mohammed, Salih, Tarik -- A. Rashid, Rafid Sagban, Abeer Alsaddon, Nebojsa Bacanin, Amit Chhabra, S. Vimal, Indradip Banerjee -- Digital Disruption in The Indian Healthcare System / Sukanya Roy -- Smart Health Care Monitoring System Using LoRaWAN IoT and Machine Learning methods / Nagarjuna Telagam, Nehru Kandasamy and D.Ajitha -- Light deep CNN approach for multi-label pathology classification using frontal chest X-ray / Souid Abdelbaki, Ben Othman Soufiene, Chinmay Chakraborty and Sakli Hedi -- Trends in Malware Detection in IoHT using Deep Learning : A Review / Merve Varol Arisoy -- IoT Based Wrist Attitude Sensor Data for Parkinson's disease Assessment for Healthcare System / Amarendranath Choudhury, Sathish E, Dhilleshwara Rao Vana and L Ganesh Babu -- Robotics and the Internet of Health Things to Improve Healthcare : especially during the COVID-19 pandemic / Leila Ennaceur, Soufiene Ben Othman, Chinmay Chakraborty and Hedi Sakli -- Artificial intelligence at the service of the detection of COVID 19 / Rabiaa Tbibe, Soufiene Ben Othman, Chinmay Chakraborty and Hedi Sakli -- Monitoring ECG Signals using E-Health Sensors and Filtering Methods for Noisy / Chokri Baccouch, Nizar Sakli, Soufiene Ben Othman, Chinmay Chakraborty and Hedi Sakli -- Artificial Intelligence-Enabled Wearable ECG for Elderly Patients / Nizar Sakli, Chokri Baccouch, Soufiene Ben Othman, Chinmay Chakraborty, Hedi Sakli and Mustapha Najjari -- Diagnosing of Disease Using Machine Learning in Internet of Healthcare Things / Abhinay Thakur and Ashish Kumar -- Heart Attack Risk Predictor using Machine Learning & Proposed IoT based Smart Watch Drone Healthcare system / Arun Anoop M and Karthikeyan P -- Thermal face image re-identification based on Variational Autoencoder, Cascade Object Detector using Lightweight architectures / Jafar Majidpour, Aram M. Ahmed, Bryar A. Hassan, Mohammed H. Abdalla, Shko M. Qader, Noor B. Tayfor and Tarik A. Rashid -- IoT Based Label Distribution Learning Mechanism for Autism Spectrum Disorder for Healthcare Application / Anurag Shrivastava, Namita Rajput, P. Rajesh and S.R. Swarnalatha.
520			_a"This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics. Features: Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services. Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes. Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of life. Introduces fundamental concepts for designing the Internet of Healthcare Things solutions. Includes pertinent case studies and applications. This book aims at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, Bioinformatics"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aMedical informatics.
650		0	_aInternet of things.
650		0	_aArtificial intelligence _xMedical applications.
650		7	_aCOMPUTERS / Computer Engineering _2bisacsh
700	1		_aSoufiene, Ben Othman, _eeditor.
700	1		_aChakraborty, Chinmay, _d1984- _eeditor.
700	1		_aAlmalki, Faris A., _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003315476
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c6237 _d6237