8 citations
- Tribhuvan UniversityNP2 papers
- Appalachian State UniversityUS1 paper
- Department of the EnvironmentGB1 paper
- Durrell Wildlife Conservation TrustJE1 paper
- Government of MauritiusMU1 paper
- Jet Propulsion LaboratoryUS1 paper
- Loughborough UniversityGB1 paper
- Mauritian Wildlife FoundationMU1 paper
- Mauritius Sugarcane Industry Research InstituteMU1 paper
- Montana State UniversityUS1 paper
- National Geographic SocietyUS1 paper
- University College LondonGB1 paper
4 papers
Improving Object Detection for Time-Lapse Imagery Using Temporal Features in Wildlife Monitoring
Marcus Jenkins, Kirsty A. Franklin, Malcolm A. C. Nicoll +4
Monitoring animal populations is crucial for assessing the health of ecosystems. Traditional methods, which require extensive fieldwork, are increasingly being supplemented by time…
Deep learning-based ecological analysis of camera trap images is impacted by training data quality and quantity
Peggy A. Bevan, Omiros Pantazis, Holly Pringle +10
Large image collections generated from camera traps offer valuable insights into species richness, occupancy, and activity patterns, significantly aiding biodiversity monitoring. H…
Test Case Features as Hyper-heuristics for Inductive Programming
Edward McDaid, Sarah McDaid
Instruction subsets are heuristics that can reduce the size of the inductive programming search space by tens of orders of magnitude. Comprising many overlapping subsets of differe…
Emergent risks in the Mt. Everest region in the time of anthropogenic climate change
Kimberley R. Miner, Paul A. Mayewski, Saraju K. Baidya +16
In April and May 2019, as a part of the National Geographic and Roxel Perpetual Planet Everest Expedition, the most interdisciplinary scientific ever was launched. This research id…