Name: AI Versus Epidemics
Price: 2116.00 UYU
Availability: InStock
Author: Daniel Ashlock;Wendy Ashlock;Sheridan Houghten;Michael Dube;Matthew Stoodley;Joseph Alexander Brown;James Hughes
ISBN: 9783031643729

Formato

Libro Físico

Editorial

Springer International Publishing AG

Autor

Daniel Ashlock;Wendy Ashlock;Sheridan Houghten;Michael Dube;Matthew Stoodley;Joseph Alexander Brown;James Hughes

Colección

Synthesis Lectures on Learning, Networks, and Algorithms

Año

2024

N° páginas

Encuadernación

Tapa Dura

Dimensiones

24.00 x 16.80 cm

ISBN13

9783031643729

AI Versus Epidemics

Daniel Ashlock;Wendy Ashlock;Sheridan Houghten;Michael Dube;Matthew Stoodley;Joseph Alexander Brown;James Hughes (Autor) · Springer International Publishing AG · Tapa Dura

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Reseña del libro "AI Versus Epidemics"

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.

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.