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Artificial intelligence and conservation / edited by Fei Fang, Carnegie Mellon University, Milind Tambe, University of Southern California, Bistra Dilkina, Georgia Institute of Technology, Andrew J. Plumptre, Key Biodiversity Areas Secretariat.

By: Contributor(s): Material type: TextSeries: Artificial intelligence for social goodPublisher: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019Description: x, 236 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781316512920
  • 9781108464734
Subject(s): DDC classification:
  • 006.3 F.F.A 2019 21
LOC classification:
  • QL82 .A78 2019
Contents:
Law enforcement for wildlife conservation -- Wildlife poaching forecasting based on ranger-collected data and evaluation through field tests -- Optimal patrol planning against black-box attackers -- Automatic detection of poachers and wildlife with UAVs -- Protecting coral reef ecosystems via efficient patrols -- Simultaneous optimization of strategic and tactical planning for environmental sustainability and security -- NECTAR: enforcing environmental compliance through strategically randomized factory inspections -- Connecting conservation research and implementation: building a wildfire assistant -- Probablistic inference with generating functions for animal populations -- Engaging citizen scientists in data collection for conservation -- Simulator-defined markov decision processes: a case study in managing bio-invasions.
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Capital Universities Foundation Library (CUFL) School of Computer Sciences (ENU) 006.3 F.F.A 2019 (Browse shelf(Opens below)) Available 1428

Includes bibliographical references and index.

Law enforcement for wildlife conservation -- Wildlife poaching forecasting based on ranger-collected data and evaluation through field tests -- Optimal patrol planning against black-box attackers -- Automatic detection of poachers and wildlife with UAVs -- Protecting coral reef ecosystems via efficient patrols -- Simultaneous optimization of strategic and tactical planning for environmental sustainability and security -- NECTAR: enforcing environmental compliance through strategically randomized factory inspections -- Connecting conservation research and implementation: building a wildfire assistant -- Probablistic inference with generating functions for animal populations -- Engaging citizen scientists in data collection for conservation -- Simulator-defined markov decision processes: a case study in managing bio-invasions.

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