Classification of bird sounds as an early warning method of forest fires using Convolutional Neural Network (CNN) algorithm-Reference-Cited by-同舟云学术

Classification of bird sounds as an early warning method of forest fires using Convolutional Neural Network (CNN) algorithm

Published:2021-05 Issue: Volume: Page:
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Permana Silvester Dian Handy,Saputra Gusti,Arifitama Budi,Yaddarabullah ,Caesarendra Wahyu^ORCID,Rahim Robbi^ORCID

Publisher

Elsevier BV

Subject

General Computer Science

Reference24 articles.

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4. Cakir, E. et al. (2017) ‘Convolutional recurrent neural networks for bird audio detection’, 25th European Signal Processing Conference, EUSIPCO 2017, 2017-Janua, pp. 1744–1748. doi: 10.23919/EUSIPCO.2017.8081508.

5. Fanioudakis, L. and Potamitis, I. (2017) ‘Deep Networks tag the location of bird vocalisations on audio spectrograms’. Available at: http://arxiv.org/abs/1711.04347.

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