최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국음향학회지= The journal of the acoustical society of Korea, v.41 no.2, 2022년, pp.235 - 241
김지섭 (한양대학교 해양융합과학과) , 윤영글 (한양대학교 해양융합과학과) , 한동균 (한국해양과학기술원 극지연구소) , 나형술 (한국해양과학기술원 극지연구소) , 최지웅 (한양대학교ERICA 해양융합공학과)
Several studies using Convolutional Neural Network (CNN) have been conducted to detect and classify the sounds of marine mammals in underwater acoustic data collected through passive acoustic monitoring. In this study, the possibility of automatic classification of bearded seal sounds was confirmed ...
S. Lee, M. Kim, and Y. Jeong, "A study on the waveform-based end-to-end deep convolutional neural network for weakly supervised sound event detection" (in Korean), J. Acoust. Soc. Kr. 39, 24-31 (2020).
Y. Wang and H. Peng, "Underwater acoustic source localization using generalized regression neural network," J. Acoust. Soc. Am. 143, 2321-2331 (2018).
C. Frederick, S. Villar, and Z. H. Michalopoulou, "Seabed classification using physics-based modeling and machine learning," J. Acoust. Soc. Am. 148, 859-872 (2020).
S. Kim, S.-K. Jung, D. Kang, M. Kim, and S. Cho, "Application of the artificial intelligence for automatic detection of shipping noise in shallow-water" (in Korean), J. Acoust. Soc. Kr. 39, 279-285 (2020).
S. Liu, M. Liu, M. Wang, T. Ma, and X. Qing, "Classification of cetacean whistles based on convolutional neural network," Proc. IEEE 10th ICWCSP. 1-5 (2018).
W. Luo, W. Yang, and Y. Zhang, "Convolutional neural network for detecting odontocete echolocation clicks," J. Acoust. Soc. Am. 145, EL7-12 (2019).
D. Wang, L. Zhang, Z. Lu, and K. Xu, "Large-scale whale call classification using deep convolutional neural network architectures," Proc. IEEE ICSPCC. 1-5 (2018).
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel, "Backpropagation applied to handwritten zip code recognition," Neural Computation, 1, 541-551 (1989).
S. Behnke, Hierarchical Neural Networks for Image Interpretation (Springer, New York, 2003), pp. 44-46.
A. Maccagno, A. Mastropietro, U. Mazziotta, M. Scarpiniti, Y.-C. Lee, and A. Uncini, "A CNN approach for audio classification in construction sites," in Handbook of Progresses in Artificial Intelligence and Neural Systems, edited by A. Esposito, M. Faundez-Zanuy, F. C. Morabito, and E. Pasero (Springer, Singapore, 2021).
T. Lu, B. Han, and F. Yu, "Detection and classification of marine mammal sounds using AlexNet with transfer learning," Ecological Informatics, 62, 101277 (2021).
Y. Chen, W. Wang, Y. Liang, D. Zhou, C. Dong, and J. Li, "Real-time detection and classification for targeted marine mammals," Proc. 2021 OES China Ocean Acoustics, 1027-1031 (2021).
S. M. Van Parijs, C. W. Clark, R. S. Sousa-Lima, S. E. Parks, S. Rankin, D. Risch, and I. C. Van Opzeeland, "Management and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales," Marine Ecology Progress Series, 395, 21-36 (2009).
M. Thomas, B. Martin, K. Kowarski, B. Gaudet, and S. Matwin, "An end-to-end approach for true detection of low frequency marine mammal vocalizations," J. Acoust. Soc. Am. 146, 2959 (2019).
M. Thomas, B. Martin, K. Kowarski, B. Gaudet, and S. Matwin, "Marine mammal species classification using convolutional neural networks and a novel acoustic representation," Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 290-305 (2019).
C. Li, R.V. Sanchez, G. Zutita, M. Cerrada, D. Cabrera, and R. E. Vasquez, "Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis," Neurocomputing, 168, 119-127 (2015).
A. Krizhevsky, I. Sutskever, and G. E.Hinton, "Imagenet classification with deep convolutional neural networks," Proc. Advances in neural information processing systems, 25, 1097-1105 (2012).
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," Proceedings of the IEEE, 86, 2278-2324 (1998).
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov, "Improving neural networks by preventing co-adaptation of feature detectors," arXiv preprint arXiv:1207.0580 (2012).
K. He, X. Zhang, S. Ren, and J. Sun, "Deep residual learning for image recognition," Proc. IEEE CVPR. 770-778 (2016).
A. Krizhevsky, I. Sutskever, and G. Hinton, "ImageNet classification with deep convolutional neural networks," Proc. Advances in Neural Information Processing Systems, 1097-1105 (2012).
D.-G. Han, J. Joo, W. Son, K. H. Cho, J. W. Choi, E. J. Yang, J.-H. Kim, S.-H. Kang, and H. S. La, "Effects of geophony and anthrophony on the underwater acoustic environment in the East Siberian Sea, arctic ocean," Geophysical Research Letters, 48, e2021GL093097 (2021).
D. Risch, C. W. Clark, P. J. Corkeron, K. M. Elepfandt, K. M. Kovacs, C. Lydersen, I. Stirling, and S. M. van Parijs, "Vocalizations of male bearded seals, Erignathus barbatus: Classification and geographical variation," Animal Behavior, 73, 747-762 (2007).
I. Charrier, N. Mathevon, and T. Aubin, "Bearded seal males perceive geographic variation in their trills," Behav. Ecol. Sociobiol. 67, 1679-1689 (2013).
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov, "Improving neural networks by preventing co-adaptation of feature detectors," arXiv Tech. Rep., 2012.
J. Sietsma and R. Dow "Creating artificial neural networks that generalize," Neural Networks, 4, 67-79 (1991).
M. Jimbo, D. Mizuguchi, H. Shirakawa, K. Tsujii, A. Fujiwara, K. Miyashita, and Y. Mitani, "Seasonal variations in the call presence of bearded seals in relation to sea ice in the southern Chukchi Sea," Polar. Biol. 42, 1953-1958 (2019).
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.