Source: Ecological Informatics. Unidade: ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, ACÚSTICA, MONITORAMENTO AMBIENTAL, PÁSSAROS, ANURA
ABNT
DIAS, Fabio Felix e PONTI, Moacir Antonelli e MINGHIM, Rosane. Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures. Ecological Informatics, v. 90, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2025.103232. Acesso em: 02 jul. 2025.APA
Dias, F. F., Ponti, M. A., & Minghim, R. (2025). Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures. Ecological Informatics, 90, 1-12. doi:10.1016/j.ecoinf.2025.103232NLM
Dias FF, Ponti MA, Minghim R. Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures [Internet]. Ecological Informatics. 2025 ; 90 1-12.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1016/j.ecoinf.2025.103232Vancouver
Dias FF, Ponti MA, Minghim R. Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures [Internet]. Ecological Informatics. 2025 ; 90 1-12.[citado 2025 jul. 02 ] Available from: https://doi.org/10.1016/j.ecoinf.2025.103232