6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis: Artificial Intelligence in Smart Healthcare Systems
Editat de Ashish Kumar, Rachna Jain, Meenu Gupta, Sardar M. N. Islamen Limba Engleză Hardback – 21 iun 2023
6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry.
This book:
- Offers the fundamentals, history, reality, and the challenges faced in the smart healthcare industry
- Discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used
- Details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems
- Presents applications of smart healthcare through various real-world examples
- Includes topics on security and privacy in 6G-enabled IoT, as well as research and future prospectus of the smart healthcare industry
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Specificații
ISBN-13: 9781032343457
ISBN-10: 1032343451
Pagini: 266
Ilustrații: 21 Tables, black and white; 69 Line drawings, black and white; 17 Halftones, black and white; 86 Illustrations, black and white
Dimensiuni: 156 x 234 x 16 mm
Greutate: 0.65 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Artificial Intelligence in Smart Healthcare Systems
ISBN-10: 1032343451
Pagini: 266
Ilustrații: 21 Tables, black and white; 69 Line drawings, black and white; 17 Halftones, black and white; 86 Illustrations, black and white
Dimensiuni: 156 x 234 x 16 mm
Greutate: 0.65 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Artificial Intelligence in Smart Healthcare Systems
Public țintă
Academic, Postgraduate, Professional Reference, and Undergraduate AdvancedNotă biografică
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".
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".
Cuprins
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.
Descriere
6G-enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used.