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Oznake: mixed behaviour classification;Panthera leo;u-net;vocalisation;
Current approaches to detect roaring behaviour of lions (Panthera leo) within acceleration data are scarce and limited to males that are stationary. We propose a segmentation approach using a Fully Convolutional Neural Network (U-Net) that can also work with data from females and roars that happen w ...
Leto: 2026 Vir: Biotehniška fakulteta (UL BF)
Izvirni znanstveni članek
Oznake: divje svinje;afriška prašičja kuga (APK);varovalni pas;nadzor bolezni;GPS;analize preživetja;
African swine fever (ASF) spreads among wild boar populations across Europe, but guidelines for defining the infectious buffer area (all reported cases plus a surrounding buffer where infected animals are likely to move) are largely uniform and rely on fixed-radius buffers or standardized frameworks ...
Leto: 2026 Vir: Biotehniška fakulteta (UL BF)
Št. zadetkov: 2
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