02431cam a2200397 i 4500 20644358 OSt 20260413190240.0 180824s2019 enka b 001 0 eng 2018040979 9781316512920 hardback : alk. paper 9781108464734 paperback : alk. paper 20644358 DLC eng DLC rda DLC pcc QL82 .A78 2019 006.3 F.F.A 2019 21 Fang, Fei, 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. Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019. x, 236 pages : illustrations ; 23 cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier Artificial intelligence for social good 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. Wildlife conservation Technological innovations. Artificial intelligence. Tambe ,Milind editor. Dilkina, Bistra editor. Plumptre, Andrew J. editor. 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 0 124 124 0 0 ddc 0 0 MAIN MAIN CS 2026-04-13 0 006.3 F.F.A 2019 1428 2026-04-13 19:02:59 2026-04-13 BK