Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
The role of individual variability on the predictive performance of machine learning applied to large bio-logging datasets
Animal-borne tagging (bio-logging) generates large and complex datasets. In particular,
accelerometer tags, which provide information on behaviour and energy expenditure of wild …
accelerometer tags, which provide information on behaviour and energy expenditure of wild …
Quantifying allo-grooming in wild chacma baboons (Papio ursinus) using tri-axial acceleration data and machine learning
Quantification of activity budgets is pivotal for understanding how animals respond to
changes in their environment. Social grooming is a key activity that underpins various social …
changes in their environment. Social grooming is a key activity that underpins various social …
Predicting moose behaviors from tri-axial accelerometer data using a supervised classification algorithm
Background Monitoring the behavior of wild animals in situ can improve our understanding
of how their behavior is related to their habitat and affected by disturbances and changes in …
of how their behavior is related to their habitat and affected by disturbances and changes in …
Identifying animal behaviours from accelerometers: Improving predictive accuracy of machine learning by refining the variables selected, data frequency, and sample …
Observing animals in the wild often poses extreme challenges, but animal‐borne
accelerometers are increasingly revealing unobservable behaviours. Automated machine …
accelerometers are increasingly revealing unobservable behaviours. Automated machine …
Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecology
The identification of sea turtle behaviours is a prerequisite to predicting the activities and
time-budget of these animals in their natural habitat over the long term. However, this is …
time-budget of these animals in their natural habitat over the long term. However, this is …
Limitations of using surrogates for behaviour classification of accelerometer data: refining methods using random forest models in Caprids
Background Animal-attached devices can be used on cryptic species to measure their
movement and behaviour, enabling unprecedented insights into fundamental aspects of …
movement and behaviour, enabling unprecedented insights into fundamental aspects of …
Quantifying behavior and life‐history events of an Arctic ungulate from year‐long continuous accelerometer data
Bio‐logging technology is now the golden standard for assessing how individual animals
change their movement and behavior over time and space. Three‐dimensional …
change their movement and behavior over time and space. Three‐dimensional …
Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models
Dynamic energy budget individual-based models (DEB-IBMs) provide a well-tested
framework for modelling the acquisition and use of energy throughout the life cycle of …
framework for modelling the acquisition and use of energy throughout the life cycle of …
Behaviour Classification on Giraffes (Giraffa camelopardalis) Using Machine Learning Algorithms on Triaxial Acceleration Data of Two Commonly Used GPS Devices …
S Brandes, F Sicks, A Berger - Sensors, 2021 - mdpi.com
Averting today's loss of biodiversity and ecosystem services can be achieved through
conservation efforts, especially of keystone species. Giraffes (Giraffa camelopardalis) play …
conservation efforts, especially of keystone species. Giraffes (Giraffa camelopardalis) play …
Integrative framework for long-term activity monitoring of small and secretive animals: validation with a cryptic pitviper
The use of miniature accelerometer (ACT) data-loggers for remote and continuous recording
of animal movement behavior is becoming increasingly common. Until recently, size …
of animal movement behavior is becoming increasingly common. Until recently, size …