Results 211 to 220 of about 235,893 (331)
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
Determining reduced functional capacity in older adults using research-grade wearable accelerometers: a secondary analysis of the study of muscle, mobility, and aging. [PDF]
Hung A +7 more
europepmc +1 more source
Dynamic Deformation Analysis of Super High-Rise Buildings Based on GNSS and Accelerometer Fusion [PDF]
Xingxing Xiao +5 more
openalex +1 more source
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
Identification of Mechanical Parameters of the Silicon Structure of a Capacitive MEMS Accelerometer. [PDF]
Kurpanik K +4 more
europepmc +1 more source
Predicting animal movement with deepSSF: A deep learning step selection framework
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
Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty
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
Evaluation of laser Doppler vibrometer's performance by a multimode laser and changeable reference arm length, equipped with an auto-focus system. [PDF]
Seydipour F, Rezaei F.
europepmc +1 more source

