Results 211 to 220 of about 235,893 (331)

Peering into the world of wild passerines with 3D‐SOCS: Synchronized video capture and posture estimation

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Collection of large behavioural data‐sets on wild animals in natural habitats is vital in ecology and evolution studies. Recent progress in machine learning and computer vision, combined with inexpensive microcomputers, has unlocked a new frontier of fine‐scale markerless measurements.
Michael Chimento   +3 more
wiley   +1 more source

Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly used to monitor wildlife movements, foraging behaviours ...
Marianna Chimienti   +14 more
wiley   +1 more source

Predicting animal movement with deepSSF: A deep learning step selection framework

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Predictions of animal movement are vital for understanding and managing wild populations. However, the fine‐scale, complex decision‐making of animals can pose challenges for the accurate prediction of trajectories. Integrated step selection functions (iSSFs), a common tool for inferring relationships between animal movement and the environment,
Scott W. Forrest   +6 more
wiley   +1 more source

Adherence to Accelerometer Use in Older Adults Undergoing mHealth Cardiac Rehabilitation: Secondary Analysis of a Randomized Clinical Trial.

open access: yesJ Med Internet Res
Barua S   +8 more
europepmc   +1 more source

Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Animal‐worn sensors have revolutionised the study of animal behaviour and ecology. Accelerometers, which measure changes in acceleration across planes of movement, are increasingly being used in conjunction with machine learning models to classify animal behaviours across taxa and research questions.
Medha Agarwal   +4 more
wiley   +1 more source

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