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A01=Daniel Ashlock
A01=James Hughes
A01=Joseph Alexander Brown
A01=Joseph Brown
A01=Matthew Stoodley
A01=Michael Dube
A01=Sheridan Houghten
A01=Wendy Ashlock
Age Group_Uncategorized
Age Group_Uncategorized
Author_Daniel Ashlock
Author_James Hughes
Author_Joseph Alexander Brown
Author_Joseph Brown
Author_Matthew Stoodley
Author_Michael Dube
Author_Sheridan Houghten
Author_Wendy Ashlock
automatic-update
Category1=Non-Fiction
Category=MB
Category=MJCJ
Category=UB
Category=UMB
Category=UYQ
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€20 to €50
PS=Active
softlaunch

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. 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.  See more
Current price €41.79
Original price €43.99
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A01=Daniel AshlockA01=James HughesA01=Joseph Alexander BrownA01=Joseph BrownA01=Matthew StoodleyA01=Michael DubeA01=Sheridan HoughtenA01=Wendy AshlockAge Group_UncategorizedAuthor_Daniel AshlockAuthor_James HughesAuthor_Joseph Alexander BrownAuthor_Joseph BrownAuthor_Matthew StoodleyAuthor_Michael DubeAuthor_Sheridan HoughtenAuthor_Wendy Ashlockautomatic-updateCategory1=Non-FictionCategory=MBCategory=MJCJCategory=UBCategory=UMBCategory=UYQCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€20 to €50PS=Activesoftlaunch

Will deliver when available. Publication date 16 Oct 2024

Product Details
  • Dimensions: 168 x 240mm
  • Publication Date: 25 Sep 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031643729

About Daniel AshlockJames HughesJoseph Alexander BrownJoseph BrownMatthew StoodleyMichael DubeSheridan HoughtenWendy Ashlock

James Alexander Hughes Ph.D. is a Professor in the Department of Computer Science at St. Francis Xavier University. He received his Ph.D. from the University of Western Ontario. His research interests include machine learning artificial intelligence evolutionary computation artificial neural networks mathematical modelling brain connectivity and other real world applications.Sheridan Houghten Ph.D. is a Professor in the Department of Computer Science at Brock University. She received her Ph.D. from Concordia University. Her research interests include combinatorial optimization computational intelligence and algorithms with various application areas including bioinformatics graphs and coding theory.Michael Dubé is a Ph.D. student at the University of Guelph. He earned his Masters degree from Brock University. His thesis investigated epidemic modeling simulation and deployment of vaccination strategies on personal contact networks using evolutionary computation.Matthew Stoodley Ph.D. is a Senior Bioinformatics Analyst at the University Health Network in Toronto. He received his Ph.D. from the University of Guelph. His interest lies in designing effective solutions for complex problems using computational analysis of large biological datasets. Daniel Ashlock Ph.D. was the Chair of the Department of Mathematics and Statistics at the University of Guelph. He authored over 300 articles and several books. His primary research areas were evolutionary computation bioinformatics mathematical biology and graph theory Joseph Alexander Brown Ph.D. is an Assistant Teaching Professor at Thompson Rivers University. He earned his Ph.D. from the University of Guelph. His research interests include evolutionary computation computational creativity computational intelligence game design game theory and bioinformatics. Wendy Ashlock Ph.D. is the Chief Data Scientist at Ashlock and McGuinness Consulting Inc. She earned her Ph.D. from York University. She is an expert in applying computational intelligence and machine learning to bioinformatics. 

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