Role of electroencephalogram oscillations and the spectrogram in monitoring anaesthesia
M.Cindy. Kim +3 more
openalex +2 more sources
A Human Gait Classification Method Based on Radar Doppler Spectrograms [PDF]
Fok Hing Chi Tivive +2 more
openalex +1 more source
Residual Life Assessment of Oil‐Immersed Insulating Paper by FTIR Feature Interpretability Evolution
ABSTRACT The ageing of insulating paper escalates the peril of insulation failure in oil‐impregnated‐paper power equipment. Consequently, the real‐time monitoring and non‐destructive assessment of insulating paper condition assume paramount significance.
Guangyi Liu +8 more
wiley +1 more source
An Intelligent Ball Bearing Fault Diagnosis System Using Enhanced Rotational Characteristics on Spectrogram [PDF]
Gyujin Seong, Dongwan Kim
openalex +1 more source
Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang +8 more
wiley +1 more source
Recognition of Sheep Feeding Behavior in Sheepfolds Using Fusion Spectrogram Depth Features and Acoustic Features [PDF]
Youxin Yu +9 more
openalex +1 more source
Warm Spring Weather Alters Calling Phenology of Four Sympatric Early‐Breeding Anurans
An unusually warm March in 2024 (“false spring”) followed by freezing temperatures allowed us to assess the impact of a weather event on an amphibian community. The calling activity of all four species was associated with increasing temperature, and the first date of calling was advanced by 11–18 days.
Jeffrey P. Ethier +3 more
wiley +1 more source
SinBasis Networks: Matrix-Equivalent Feature Extraction for Wave-Like Optical Spectrograms
Yuzhou Zhu +3 more
openalex +2 more sources
Instantaneous Spectrograms of Palladium, Iridium, and Platinum
Hantaro Nagaoka +2 more
openalex +2 more sources
BirdNET: Automated Detection for Monitoring Critically Endangered Lemurs from the Maromizaha Forest
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

