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| Full Title | Intelligent Systems and Methods to Combat Covid-19 1st Edition |
|---|---|
| Author(s) | Amit Joshi, Nilanjan Dey, K. C. Santosh |
| Edition | 1st Edition |
| ISBN | 9789811565724, 9789811565717 |
| Publisher | Springer |
| Format | PDF and EPUB |
This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.
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