Practical artificial intelligence for internet of medical things emerging trends, issues, and challenges
IoT-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...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boca Raton, London, New York
CRC Press
2023
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| Ausgabe: | First edition |
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| Online Zugang: | Inhaltsverzeichnis |
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Tag hinzufügen | Zusammenfassung: | IoT-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. "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"-- |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xxii, 321 Seiten Illustrationen, Diagramme |
| ISBN: | 9781032325279 978-1-032-32527-9 9781032325286 978-1-032-32528-6 |