E-Book, Englisch, 97 Seiten, eBook
Reihe: Synthesis Lectures on Learning, Networks, and Algorithms
Hughes / Houghten / Dubé AI Versus Epidemics
1. Auflage 2024
ISBN: 978-3-031-64373-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 97 Seiten, eBook
Reihe: Synthesis Lectures on Learning, Networks, and Algorithms
ISBN: 978-3-031-64373-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Chapter 1 Introduction.- Chapter 2 Evolutionary Computation.- Chapter 3 Graph Compression.- Chapter 4 Network Induction.