Predictive and preventive measures for COVID-19 pandemic / Praveen Kumar Khosla, Mamta Mittal, Dolly Sharma, Lalit Mohan Goyal, editors.
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...
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| Other Authors: | , , , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2021]
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| Series: | Algorithms for intelligent systems.
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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. |
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| Item Description: | Includes author index. |
| Physical Description: | 1 online resource. |
| ISBN: | 9789813342354 9789813342361 9813342358 9813342366 |