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cs.SD2023
Towards small and accurate convolutional neural networks for acoustic biodiversity monitoring
Serge Zaugg, Mike van der Schaar, Florence Erbs +4
Automated classification of animal sounds is a prerequisite for large-scale monitoring of biodiversity. Convolutional Neural Networks (CNNs) are among the most promising algorithms…
astro-ph.HE2023
Searches for neutrinos in the direction of radio-bright blazars with the ANTARES telescope
ANTARES Collaboration, A. Albert, S. Alves +162
Active galaxies, especially blazars, are among the most promising neutrino source candidates. To date, ANTARES searches for these objects considered GeV-TeV -ray bright blazars.…