Results 101 to 110 of about 6,488 (227)
Construction and validation of the sleep ethogram
Aims Poor sleep quality can seriously impact public health, as it can induce several chronic or acute cardiovascular and cerebral diseases. Electrophysiology is the main tool used for evaluating sleep quality; however, the precise behaviors during the whole sleeping process remain unclear.Methods Herein, we recruited 38 healthy adult men and placed ...
Qiongfang Cao +4 more
openaire +2 more sources
Ethogram of acute pain behavior in cats following expert consensus.
Ethogram of acute pain behavior in cats following expert consensus.
Sabrine Marangoni (17061025) +2 more
core +1 more source
Ethogram (adapted from Ziomek et al. 2009).
Ethogram (adapted from Ziomek et al. 2009).
Carina Siutz (4521277) +9 more
core +1 more source
Experimental ethogram of recorded broiler chicken behaviors, based on [44].
Experimental ethogram of recorded broiler chicken behaviors, based on [44].
Ibiara Correia de Lima Almeida Paz (6172106) +8 more
core +1 more source
Ethogram of the observed behaviours during tests.
Ethogram of the observed behaviours during tests.
Sandy Bensoussan (3280791) +3 more
core +1 more source
Ethogram developed for behavioural observations conducted on calves following treatment.
Ethogram developed for behavioural observations conducted on calves following treatment.
Dominique Van der Saag (5391203) +4 more
core +1 more source
Ethogram of In-Kennel Behaviors of Shelter Dogs.
Ethogram of In-Kennel Behaviors of Shelter Dogs.
May Meredith Boggess (680675) +3 more
core +1 more source
Ethogram for the recording of home cage behaviour.
Ethogram for the recording of home cage behaviour.
Janja Novak (2657710) +3 more
core +1 more source
Ethogram of behaviors observed in passalus beetles in this study.
Ethogram of behaviors observed in passalus beetles in this study.
Andrew K. Davis (148974) +2 more
core +1 more source
ChimpVLM: Ethogram-Enhanced Chimpanzee Behaviour Recognition
We show that chimpanzee behaviour understanding from camera traps can be enhanced by providing visual architectures with access to an embedding of text descriptions that detail species behaviours. In particular, we present a vision-language model which employs multi-modal decoding of visual features extracted directly from camera trap videos to process
Otto Brookes +3 more
openaire +3 more sources

