James Hughes,
Sheridan Houghten,
Michael Dube,
Michael Dubé,
Daniel Ashlock,
Joseph Alexander Brown,
Wendy Ashlock,
Matthew Stoodley
e.a.
AI Versus Epidemics
Gebonden Engels 2024 9783031643729Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9783031643729
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Inhoudsopgave
Chapter 1 Introduction.- Chapter 2 Evolutionary Computation.- Chapter 3 Graph Compression.- Chapter 4 Network Induction.
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan