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.
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
- unmediated
- volume
- 9781316512920
- 9781108464734
- 006.3 F.F.A 2019 21
- QL82 .A78 2019
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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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