Results 131 to 140 of about 34,048 (261)

Sensory Biology of the Franciscana (Pontoporia blainvillei, Pontoporiidae, Cetartiodactyla): Ontogenetic Modifications of Vibrissae and Vibrissal Crypts

open access: yesIntegrative Zoology, EarlyView.
The transition of cetaceans from a terrestrial to an aquatic environment involved a crucial sensory adaptation to environments with limited visibility. Vibrissae, important mechanoreceptors, undergo an ontogenetic transformation in odontocetes. This research describes the histomorphology of vibrissae and crypts at different developmental stages ...
Cecilia Mariana Krmpotic   +10 more
wiley   +1 more source

The complete genome sequence of Apodemia mormo langei, Lange's Metalmark Butterfly. [PDF]

open access: yesBiodivers Genomes
Pirro S   +14 more
europepmc   +1 more source

BirdNET: Automated Detection for Monitoring Critically Endangered Lemurs from the Maromizaha Forest

open access: yesIntegrative Zoology, EarlyView.
In this study, we evaluated the effectiveness of integrating PAM with BirdNET, a convolutional neural network originally developed for avian vocalization detection, to monitor two critically endangered lemurs, Indri indri and Varecia variegata, in Madagascar's Maromizaha rainforest.
Valeria Ferrario   +10 more
wiley   +1 more source

Automated Activity Tracking and Space Use Monitoring of Captive Jaguars with Machine Learning. [PDF]

open access: yesAnimals (Basel)
Larsen LLN   +7 more
europepmc   +1 more source

From video to behaviour: An LSTM‐based approach for automated nest behaviour recognition in the wild

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Studies of animal behaviour usually rely on direct observations or manual annotations of video recordings. However, such methods can be very time‐consuming and error‐prone, leading to sub‐optimal sample sizes. Recent advances in deep learning show great potential to overcome such limitations.
Liliana R. Silva   +5 more
wiley   +1 more source

Optimal deep learning activity recognition pipeline using animal bio‐logging data

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source

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