Spatiotemporal identification of anomalies in a wildlife preserve
The datasets released for the VAST Challenge 2017 comprise vehicle movement data captured with RFID sensors, chemical emission data from factories captured by gas sensors, and image attributes of the wildlife plant health obtained from satellites, all pertaining to a fictional wildlife preserve. Usi...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2017
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/3831 https://ink.library.smu.edu.sg/context/sis_research/article/4833/viewcontent/Example6_VAST_Grand_Challenge_2017_Award_for_Clear_Presentation_of_Hypotheses_and_Supporting_Evidence.pdf |
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| Institution: | Singapore Management University |
| Language: | English |