6G-Enabled IoT and AI for Smart Healthcare

6G-Enabled IoT and AI for Smart Healthcare

Challenges, Impact, and Analysis

Kumar, Ashish; Islam, Sardar M. N.; Jain, Rachna; Gupta, Meenu

Taylor & Francis Ltd

11/2024

252

Mole

9781032343549

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Chapter 1. Introduction to Smart Healthcare: Healthcare Digitization. Chapter 2. AI and IoT for Smart Healthcare: Background and Preliminaries. Chapter 3. Security and Privacy Issues in Smart Healthcare Using Machine-Learning Perspectives. Chapter 4. A Framework for Virtual Reality in Healthcare: Insight for Disaster Preparation. Chapter 5. Mobile Healthcare Applications: Critical Privacy and Security Issues, Challenges, and Solutions. Chapter 6. 6G-Enabled IoT for eHealthcare Systems: Emergence and Upgradation. Chapter 7. Machine Learning in Healthcare Cybersecurity: Role of Human Activity Recognition and Impact of 6G in Smart Healthcare. Chapter 8. 6G-Enabled IoT Wearable Devices for Elderly Healthcare. Chapter 9. 6G-Based Smart Healthcare Solutions: Beyond Industry 4.0 Trends and Products. Chapter 10. Influence of AI and 6G-Enabled IoT in Smart Healthcare: Challenges and Solutions. Chapter 11. Success Stories for IoT-Enabled 6G for Prediction and Monitoring of Infectious Diseases with Artificial Intelligence. Chapter 12. Emerging Internet of Things (IoTs) Scenarios using Machine Learning for 6G over 5G-Based Communications. Chapter 13. 6G: Technology, Advancement, Barriers and Future.
Machine Learning-Based Deep Learning;Wearable Devices;e-Health Systems;Big Data Analytics;ePrivacy and Security;Smart Healthcare Legal Aspects;HAR Model;Dl Model;Corona Virus;Visible Light Communication;Smart Healthcare;Massive MIMO;IoT Device;Fog Computing;COPD Attack;AML Model;VLC System;micro-Doppler Signatures;Antivirus Software;Triage Tags;IoT Sensor;Triage Cards;RF;5G Network;Cps;VR Group;Terahertz Imaging;IoT Architecture;VR Headset;Mu MIMO;6G Era