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Springer Predictive and Preventive Measures for Covid-19 Pandemic (Algorithms for Intelligent Systems)

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Description

This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic. From the Back Cover This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic. About the Author Dr. P K Khosla received M.Tech. in Electronics & Communication from National Institute of Technology, Kurukshetra. He was awarded University Medal for being a topper. He passed Ph.D. in Electronics & Communication from Thapar University. He has recently passed a course in Advance Artificial Intelligence in Cyber Security from Carnegie Melon University, USA. He joined DRDO as Scientist B in 1986. He rose to become Scientist G in 2014.  In the intervening period, he was Founder of Embedded Systems Division of TBRL. The embedded products developed under his leadership have been successfully inducted into on-board systems such as missiles and aircraft. In 2018, he took over C-DAC, Mohali, as Executive Director. At C-DAC, he is working in the field of cyber security, healthcare technologies, e-governance, agri-electronics and artificial intelligence.  Cyber threat management system and national tele-consultation systems, which were developed under his leadership, have been successfully delivered to national level agencies. He is instrumental in bringing a turnaround in C-DAC Mohali in 2019–2020. He has published in several national and international journals, written book chapters and guided Ph.D. students. His relentless efforts have enabled scientists to unravel the previously unforeseen and latent issues in defence systems.  His work in IT systems has benefited millions of people.   Dr. Mamta Mittal graduated in Computer Science & Engineering from Kurukshetra University Kurukshetra in 2001 and received Master’s degree (Honors) in Computer Science & Engineering from YMCA, Faridabad. She has completed her Ph.D. from Thapar University Patiala in Computer Science and Engineering. She has been teaching from the last 16 years with emphasis on data mining, machine learning, soft computing and data structure. She is a lifetime member of CSI. She has published and communicated number of research papers in SCI, SCIE, Scopus indexed journals and attended many workshops, FDPs and seminars. She has fi

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
23 January 2021
Listed Since
13 October 2020

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