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6G-Enabled IoT and AI for Smart Healthcare (Artificial Intelligence in Smart Healthcare Systems)

Description:

In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI.

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

Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.


Editorial Reviews

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".

Details:

6G-Enabled IoT and AI for Smart Healthcare (Artificial Intelligence in Smart Healthcare Systems)

Product ID: U1032343451
|

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Imported From: United States

At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.

Every product in the BOLO catalogue is sourced through our Verified Global Supply Network of verified sellers, authorized distributors or directly from the manufacturer.

Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.

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While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.

Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.

BOLO operates in accordance with the laws and regulations of Bahrain. Any items found to be restricted or prohibited for sale within the Bahrain will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in Bahrain are listed on our website.

All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.

All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.

6G-Enabled IoT and AI for Smart Healthcare (Artificial Intelligence in Smart Healthcare Systems)

Product ID: U1032343451
6G-Enabled IoT and AI for Smart Healthcare (Artificial Intelligence in Smart Healthcare Systems)-0
|

Returns & Warranty policies

Imported From: United States

At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.

Every product in the BOLO catalogue is sourced through our Verified Global Supply Network of verified sellers, authorized distributors or directly from the manufacturer.

Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.

If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.

Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.

While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.

Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.

BOLO operates in accordance with the laws and regulations of Bahrain. Any items found to be restricted or prohibited for sale within the Bahrain will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in Bahrain are listed on our website.

All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.

All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.

Description:

In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI.

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

Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.


Editorial Reviews

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".

Details: