Results 141 to 150 of about 123,203 (295)

Dataset for UAV velocity prediction_pt2

open access: green, 2022
Leonardo R. Silveira, Mateus Rodrigues
openalex   +1 more source

Saving Bambi from the mower? Using a drone with thermal camera to evaluate a low‐tech scaring technique to reduce roe deer fawn mortality during grass harvest

open access: yesWildlife Biology, EarlyView.
Roe deer is a species that hides their neonates as an anti‐predator strategy. This may prove efficient against mammalian predators, such as the red fox; however, it might be an ecological trap as large numbers of fawns are killed by tractors with harvesters each year during grass harvest.
Thomas Vogler   +2 more
wiley   +1 more source

QoE Maximization for Multiple-UAV-Assisted Multi-Access Edge Computing via an Online Joint Optimization Approach [PDF]

open access: green
Long He   +7 more
openalex   +1 more source

Replication Package of the study "Automated Identification and Qualitative Characterization of Safety Concerns Reported in UAV Software Platforms"

open access: green, 2022
Andrea Di Sorbo   +4 more
openalex   +1 more source

Monitoring wildlife using long‐endurance solar‐electric UAVs

open access: yesWildlife Biology, EarlyView.
This report discusses the effectiveness of using small solar‐electric UAV (uncrewed aerial vehicles) for aerial wildlife monitoring. We review four years of aerial wildlife monitoring missions using a 5.5‐m wingspan, solar‐electric UAV that was equipped with a gimballed IR/RGB camera.
Götz Bramesfeld   +3 more
wiley   +1 more source

Effects of complex soundscapes on the occurrence of Anaxipha pallidula in isolated green spaces in Tokyo

open access: yesWildlife Biology, EarlyView.
Urban green spaces experience a mix of natural and anthropogenic noises, which could disrupt the vocal communication of several species. This study investigated how such complex soundscapes affect the occurrence of Anaxipha pallidula, which communicates through calls, focusing on both sound level and quality.
Hiroki Mori, Takeshi Osawa
wiley   +1 more source

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

open access: yesWildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin   +4 more
wiley   +1 more source

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