Predictive and Preventive Measures for Covid-19 Pandemic / Algorithms for Intelligent Systems (PDF)
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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.
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
Dr. Dolly Sharma graduated in Computer Science & Engineering from Kurukshetra University in 2004 and received Masters in Information Technology with honors from Panjab University, Chandigarh, in 2007. She was the second University topper. She has completed Ph.D. in Computer Science and Engineering from Punjab Engineering College, Chandigarh. She is currently working as Associate Professor in Amity University, Noida. She has a rich teaching experience of around 13 years. Her area of interests includes bioinformatics, grid computing and data mining. She has published a number of research papers and book chapters indexed in Scopus and SCI. She has contributed as Reviewer in important conferences and journals. She has chaired international conferences and delivered invited talks. She is a lifetime member of ISTE and AIENG.
Dr. Lalit Mohan Goyal has completed Ph.D. from Jamia Millia Islamia, New Delhi, in Computer Engineering, M.Tech. (Honors) in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi, and B.Tech. (Honors) in Computer Engineering from Kurukshetra University, Kurukshetra. He has 16 years of teaching experience in the area of theory of computation, parallel and random algorithms, distributed data mining & cloud computing. He has completed a project sponsored by Indian Council of Medical Research, Delhi. He has published many research papers in SCI indexed & Scopus indexed journals, and conferences. Two patents filed by him are also now published online. He is Reviewer of many reputed journals & conferences. He has given many invited talks in FDP and conferences. Presently, he is working at J. C. Bose Univ. of Sc. & Tech. YMCA Faridabad in the Department of Computer Engineering.
- 2021, 1st ed. 2021, 326 Seiten, Englisch
- Herausgegeben: Praveen Kumar Khosla, Mamta Mittal, Dolly Sharma, Lalit Mohan Goyal
- Verlag: Springer Nature Singapore
- ISBN-10: 9813342366
- ISBN-13: 9789813342361
- Erscheinungsdatum: 22.01.2021
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- Größe: 9.53 MB
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