Results 261 to 270 of about 229,107 (335)
PEAK VERTICAL GROUND ACCELERATION PREDICTION USING JMA-87 TYPE ACCELEROMETER DATA
Laurensius Dicky +3 more
openalex +2 more sources
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
Agreement between parental reports and accelerometer measures of sleep duration in primary school children. [PDF]
Duarte A, Martins J, Rosário R.
europepmc +1 more source
ASSESSMENT OF PHYSICAL ACTIVITY WITH THE CSA ACCELEROMETER: LAB VS. FIELD MEASURES
L. Chabot +4 more
openalex +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
Parental modelling has a sustainable effect on offspring's physical activity: the SOPHYA cohort. [PDF]
Bringolf-Isler B +5 more
europepmc +1 more source
The seismic fingerprint of wind‐induced tree sway
Abstract Climate change is increasing the frequency and intensity of extreme events like heat waves, droughts and storms, placing forests under growing physiological and mechanical stress. Common indicators of tree stress, such as sap flow, stomatal conductance, water potential or photosynthetic activity, provide valuable insights but are costly ...
Josefine Umlauft +6 more
wiley +1 more source

