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AI Versus Epidemics Synthesis Lectures on Learning Networks and Algorithms
by [Hughes, James, Houghten, Sheridan, Dubé, Michael, Ashlock, Daniel, Brown, Joseph Alexander, Ashlock, Wendy, Stoodley, Matthew]
$50.35
Description
This book presents algorithms and tools that are designed to model and extract information from personal contact networks, which represent which individuals in a population are physically in contact with one another. The authors developed these tools based on research they conducted during the COVID-19 pandemic, with the goal of improving responses to epidemics in the future. The book provides methods for modelling the transmission of infection across a population. The authors explain how an epidemic model can be used to strategically distribute vaccines and minimize the spread of a virus. The book shows how evolutionary computation, graph compression, and network induction can be utilized to manage issues that arise from an epidemic.
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Product Details
- Springer Brand
- Sep 25, 2024 Pub Date:
- 9783031643729 ISBN-13:
- 3031643720 ISBN-10:
- 108.0 pages Hardcover
- English Language
- 9.69 in * 0.47 in * 6.81 in Dimensions:
- 1 lb Weight:
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