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Evolving Computational Approaches in Telehealth and Telemedicine – EurekAlert

A Look at the Post-COVID-19 Landscape.
Bentham Science Publishers
The contents of this book provide several methods/techniques for providing an effective and long-term solution for COVID-19 virus precaution, prevention, and treatment. The Internet of Things (IoT) in Telemedicine, Artificial Intelligence for Remote Patient Monitoring systems, and Convolutional Neural Networks for Skin lesions prediction have all been thoroughly covered, as having Telemedicine with machine learning, Covid-19 virus contact tracing via mobile app, IoT, and Cloud convergence in healthcare exploration analysis, and Lung cancer classification and detection using deep learning technique.
The edited book also discusses upcoming trends, problems, and future research paths in telehealth and telemedicine for infectious disease control.
The book will assist researchers, students, academics, and medical practitioners in learning about and implementing cutting-edge telemedicine technologies.
 
About the editors:
Dr.G.Madhu is a professor in the Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad-90, India. His research interests are in computer vision, machine learning, and deep learning, which include the fundamentals of algorithms and mathematical modeling.
Dr. Sandeep Kautish is working as Professor and Dean-Academics at LBEF Campus, Kathmandu, Nepal, in academic collaboration with Asia Pacific University of Technology & Innovation Malaysia. His research interests are in computational intelligence in healthcare, business intelligence, machine learning, the Internet of Things, and intelligent systems in social networks.
Dr.A.Govardhan is presently a Professor of Computer Science & Engineering and Rector, Jawaharlal Nehru Technological University, Hyderabad (JNTUH), India. He is the recipient of the Best Senior Scientist Award (2018), Dewang Mehta Academic Leadership Award (2017), Dr. Sarvepalli Radhakrishnan National Award, A.P. State Government Best Teacher Award (2012), Pride of Asia International Award, Best Principal, Bharat Seva Ratna Puraskar, CSI Chapter Patron Award, and Bharat Jyoti Award. His research interests are in areas including Data Warehousing & Mining, Information Retrieval Systems, Database Management Systems, Distributed Databases, Software Engineering, Object-Oriented Analysis & Design, and Software Testing Methodologies.
Dr.Avinash Sharma, presently Professor, Maharishi Markandeshwar Engineering College, Mullana, Ambala (Haryana), India. His research interests are in software engineering, machine learning, big data, cloud computing, and IoT.
Dr. Mathura Prasad Thapliyal is a Professor in the Department of Computer Science Engineering, School of Engineering and Technology, HNB Garhwal University (A Central University), Srinagar (Garhwal), Uttaranchal, India. His areas of interest are Human-Computer Interaction, Mobile-HCI, Software Engineering, and Data Mining.
 
Keywords:
Artificial Intelligence, Hair Removal, Big data, Healthcare, Cloud, Internet of Medical Things (IoMT), Coronavirus, Internet of Things (IoT), Convolutional Neural Networks, Machine Learning, COVID-19, Melanoma, Digital Health Care, Skin Lesions, Data Science, Telehealth, E-Health, Telemedicine, Extreme Learning Machine, Voice Pathology.
 
For more information, please visit: https://bit.ly/3ssP69u
 
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Media Contact
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Bentham Science Publishers
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Copyright © 2023 by the American Association for the Advancement of Science (AAAS)
Copyright © 2023 by the American Association for the Advancement of Science (AAAS)

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