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6G-Enabled IoT and AI for ­Smart Healthcare
Challenges, Impact, and Analysis (Artificial Intelligence in Smart Healthcare Systems)
By Ashish Kumar (Edited by), Rachna Jain (Edited by), Meenu Gupta (Edited by), Sardar M. N. Islam (Edited by)

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Format
Hardback, 252 pages
Other Formats Available

Paperback : £45.51

Published
United Kingdom, 1 June 2023


Chapter 1. Introduction to Smart healthcare: Healthcare Digitization


Sai Dhakshan Y, Amit Kumar Tyagi


Chapter 2. AI and IoT for smart healthcare: Background and Preliminaries


Prabhjot Kaur, Sharad Chauhan, Meenu Gupta, Ashish Kumar


Chapter 3. Security and privacy issues in Smart healthcare: A data analytics perspectives


Ashish Kumar, Neha Gupta, Paarth Bhasin, Sharad Chauhan, Imane Bachri


Chapter 4. A Framework for Virtual Reality in Healthcare: Insight for Disaster Preparation


Tina Dudeja, Akanksha Dhamija, Tanisha Madaan, Richa Sharma, Narina Thakur, Zarqua Neyaz


Chapter 5. Mobile Healthcare Applications: Critical Privacy and Security Issues, Challenges, and Solutions


Sunita Kumari, Arush Sachdeva, Anant Bansal, Deepanshu Pal


Chapter 6. 6G enabled IoT for healthcare systems: Emergence and upgradation


Richa Gupta, Deepshikha Yadav


Chapter 7. Role of Human Activity Recognition and impact of 6G in Smart Healthcare


Neha Gupta, Suneet Kumar Gupta, Vanita Jain


Chapter 8. 6G enabled IoT wearable devices for elderly healthcare


Shubham Gargrish, Sharad, Meenu Gupta, Ahmed J. Obaid


Chapter 9. 6G based smart healthcare solutions: Beyond Industry 4.0 trends and products


Chander Prabha, Deepak Kumar Jain


Chapter 10. Influence of AI and 6G enabled IoT in Smart healthcare: Challenges and Solutions


Kritika Upadhyay, Manisha Bharti


Chapter 11. Success stories for IoT enabled 6G for prediction and monitoring of infectious diseases


Dr S Chandrakala, Dr G Revathy


Chapter 12. Emerging Internet of Things (IoTs) Scenarios using Machine Learning for 6G over 5G based Communications


Raghav Dangey, Arjun Tandon, Amit Kumar Tyagi


Chapter 13. 6G: Technology, advancement, barriers and future


Meghna Manoj Nair, Amit Kumar Tyagi

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Product Description


Chapter 1. Introduction to Smart healthcare: Healthcare Digitization


Sai Dhakshan Y, Amit Kumar Tyagi


Chapter 2. AI and IoT for smart healthcare: Background and Preliminaries


Prabhjot Kaur, Sharad Chauhan, Meenu Gupta, Ashish Kumar


Chapter 3. Security and privacy issues in Smart healthcare: A data analytics perspectives


Ashish Kumar, Neha Gupta, Paarth Bhasin, Sharad Chauhan, Imane Bachri


Chapter 4. A Framework for Virtual Reality in Healthcare: Insight for Disaster Preparation


Tina Dudeja, Akanksha Dhamija, Tanisha Madaan, Richa Sharma, Narina Thakur, Zarqua Neyaz


Chapter 5. Mobile Healthcare Applications: Critical Privacy and Security Issues, Challenges, and Solutions


Sunita Kumari, Arush Sachdeva, Anant Bansal, Deepanshu Pal


Chapter 6. 6G enabled IoT for healthcare systems: Emergence and upgradation


Richa Gupta, Deepshikha Yadav


Chapter 7. Role of Human Activity Recognition and impact of 6G in Smart Healthcare


Neha Gupta, Suneet Kumar Gupta, Vanita Jain


Chapter 8. 6G enabled IoT wearable devices for elderly healthcare


Shubham Gargrish, Sharad, Meenu Gupta, Ahmed J. Obaid


Chapter 9. 6G based smart healthcare solutions: Beyond Industry 4.0 trends and products


Chander Prabha, Deepak Kumar Jain


Chapter 10. Influence of AI and 6G enabled IoT in Smart healthcare: Challenges and Solutions


Kritika Upadhyay, Manisha Bharti


Chapter 11. Success stories for IoT enabled 6G for prediction and monitoring of infectious diseases


Dr S Chandrakala, Dr G Revathy


Chapter 12. Emerging Internet of Things (IoTs) Scenarios using Machine Learning for 6G over 5G based Communications


Raghav Dangey, Arjun Tandon, Amit Kumar Tyagi


Chapter 13. 6G: Technology, advancement, barriers and future


Meghna Manoj Nair, Amit Kumar Tyagi

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Product Details
EAN
9781032343457
ISBN
1032343451
Publisher
Other Information
21 Tables, black and white; 69 Line drawings, black and white; 17 Halftones, black and white; 86 Illustrations, black and white
Dimensions
23.4 x 15.6 x 1.6 centimeters (0.65 kg)

Table of Contents

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.

About the Author

Ashish Kumar, Ph.D., is working as an assistant professor with Bennett University, Greater Noida, U.P., India. He has completed his Ph.D. in computer science and engineering from Delhi Technological University (formerly DCE), New Delhi, India in 2020. He has received best researcher award from the Delhi Technological University for his contribution in the computer vision domain. He has completed M.Tech in computer Science and engineering from GGS Inderpratha University, New Delhi. He has published many research papers in various reputed national and international journals and conferences. His current research interests include object tracking, image processing, artificial intelligence, and medical imaging analysis.

Dr. Rachna Jain, currently working as Associate Professor(IT Department) in Bhagwan Parshuram Institute of Technology (GGSIPU) since Aug 2021.She has worked as Assistant Professor(Computer Science Department) in Bharati Vidyapeeth's College of Engineering (GGSIPU) from Aug 2007-Aug 2021.She did her PHD from Banasthali Vidyapith (Computer Science) in 2017.She received ME in year 2011 from Delhi college of engineering with specialisation in Computer Technology and Applications. She did her B.tech in 2006 from N.C College of Engineering, Kurukshetra University. Her current research interests are Cloud Computing, Information security, Deep Learning and Machine Learning. She has contributed more than 20 book chapters in various books. She has also served as Session Chair in various International Conferences. She completed DST Project titled "Design an autonomous intelligent drone for city surveillance" as CO-PI. A total of 16+ Years of Academic Experience with more than 100+ Publications in International Conferences cum International Journals(Scopus/ISI/SCI) of High Repute.

Dr. Meenu Gupta is an Associate Professor at the UIE-CSE Department, Chandigarh University, India. She has completed her Ph.D. degree in Computer Science and Engineering with an emphasis on Traffic Accident Severity Problems from Ansal University, Gurgaon, India, in 2020. She has more than 13 years of teaching experience. Her research areas cover Machine Learning, Intelligent Systems, Data mining, Artificial Intelligence, Image Processing and Analysis, Smart Cities, Data Analysis, and Human/Brain-machine Interaction (BMI). She has edited two books on healthcare and cancer diseases and authored four engineering books. She is a reviewer for several journals, including Big Data, CMC, Scientific Reports, and TSP. She is a life member of ISTE and IAENG. She has authored or co-authored more than 20 book chapters and over 50 papers in refereed international journals and conferences. She has four filed patents and was recently awarded the best faculty and researcher of the department.

Dr. Sardar M.N. Islam has lived, studied, worked, and travelled (extensively) in different countries over a long period. He adopts a global and humanistic approach in his research and academic works. He is a Professor at Victoria University, Melbourne, Australia. His research has attracted international acclaim, leading to several appointments as a distinguished visiting professor, visiting professor, or adjunct professor. Dr. Islam has also received many invitations to address international conferences as a keynote speaker. He has published 31 authored research books (published by reputed publishers) and about 250 articles. He is also a Distinguished Visiting Professor of Artificial Intelligence, UnSri; Adjunct Professor of IT and Business, Armstrong Institute, Melbourne; and Editor-in-Chief of "International Transactions on Artificial Intelligence".

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