Recently, the internet of things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has gained significant attention by utilizing its machine learning algorithms for quality patient care. The integration of IoT with AI may open new possibilities for both technologies and can play a big part in smart healthcare by providing improved insight into healthcare data and allowing for more inexpensive personalized care.
The Handbook of Research on Advancements in AI and IoT Convergence Technologies considers recent advancements in AI and IoT convergence technologies with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those convergence technologies. It also provides insight into how to develop AI and IoT convergence techniques to meet industrial demands and covers the emerging research topics that are going to define the future of AI and IoT convergence technology development. Covering key topics such as diseases, smart healthcare, social distance monitoring, and security, this major reference work is ideal for industry professionals, nurses, healthcare workers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.
Recently, the internet of things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has gained significant attention by utilizing its machine learning algorithms for quality patient care. The integration of IoT with AI may open new possibilities for both technologies and can play a big part in smart healthcare by providing improved insight into healthcare data and allowing for more inexpensive personalized care.
The Handbook of Research on Advancements in AI and IoT Convergence Technologies considers recent advancements in AI and IoT convergence technologies with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those convergence technologies. It also provides insight into how to develop AI and IoT convergence techniques to meet industrial demands and covers the emerging research topics that are going to define the future of AI and IoT convergence technology development. Covering key topics such as diseases, smart healthcare, social distance monitoring, and security, this major reference work is ideal for industry professionals, nurses, healthcare workers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.
Jingyuan Zhao is a Research Fellow at the
Department of Political Science, University of Toronto. She was a
professor at School of Management, Beijing Union University, China.
Her PhD is in Management Science and Engineering from the Chinese
Academy of Sciences and University of Science and Technology of
China. She completed two Postdoctoral Programs in Technology
Economy and Management from Harbin Institute of Technology, China,
and Management of Technology from University of Quebec at Montreal,
Canada. Dr. Zhao's expertise is on regional innovation management,
high-tech industry cluster, knowledge management, technology
diffusion, organizational learning.
V. Vinoth Kumar is an Associate Professor in the
Department of Computer Science and Engineering in MVJ College of
Engineering, Bangalore, India. He is a highly qualified individual
with around 8 years of rich expertise in teaching,
entrepreneurship, and research and development with specialization
in computer science engineering subjects. He has been a part of
various seminars, paper presentations, research paper reviews, and
conferences as a convener and a session chair, a guest editor in
journals and has co-authored several books and papers in national,
international journals and conferences. He is a professional
society member for ISTE, IACIST and IAENG. He has published more
than 15 articles in National and International journals, 10
articles in conference proceedings and one article in book chapter.
He has filed Indian patent in IoT Applications. His Research
interest includes Mobile Adhoc Networking and IoT.
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