References
- S.J. Park, J.W. Hong, "A Study on the Improvement of Legal System for the Revitalization of Korea's Marine Tourism", J. of the Korean Society of Marine Environment & Safety", Vol. 18, No. 2, pp. 131-138, 2012 https://doi.org/10.7837/kosomes.2012.18.2.131
- T.G. Lim, K.S. Bae, C.S. Hwang, H.U. Lee, "Classification of Underwater Transient Signals using MFCC Feature Vector", J. of Korea Communication Association, Vol. 32, No. 8, pp. 675-679, 2007
- T.G. Lim, I.H. Kim, T.H. Kim, K.S. Bae, "Frame Based Classification of Underwater Transient Signal using MFCC Feature Vector and Neural Network", The Proceeding of Korea Electronics Association 2008, Vol. 31, No. 1, pp. 883-884, 2008
- J.G. Jung, J.H. Park,D.W. Kim, C.S. Hwang, "Feature Extraction and Classification of Underwater Transient Signal using MFCC and Wavelet Packet Based on Entropy", The Proceeding of Korea Univ.-Industry Tech Association, Pp 781-784, Spring of 2009
- J.H. Kim, T.H. Bok, D.G. Paeng, J.H. Bae, C.H. Lee, S.G. Kim, "Classification of Transient Signal in Ocean Background Noise using Bayesian Classifier", J. of The Korean Society of Ocean Engineers, Vol. 26, No. 4, pp. 57-63, 2012
- D. Cazu, R. Lefort, J. Bonnel, J. Krywyk, "Bi-class of Humpback Whale Sound Units Against Complex Background Noise With Deep Convolution Neural Network", Workshop Track-ICLR 2017, pp. 1-7, 2017
- Sherin B.M., Dr. Supriya M.H., "WOA based Selection and Parameter Optimization of SVM Kernel Function for Underwater Target Classification", International J. of Advanced Research in Computer Science, Vol. 8, No. 3, pp. 223-226, 2017 https://doi.org/10.26483/ijarcs.v8i8.4622
- Micheal Bittle, Alec Duncan. "A review of current marine mammal detection and classification algorithms for use in automated passive acoustic monitoring", Proceeding of Acoustics, pp. 1-8, 2013
- U.P. Chong, N.G. Kim, "Underwater Transient Signal Classification Apparatus and Method", The Petition of Korean Patent, #10-2017-0146963, 2017
- H.S. Han, U.P. Chong, "Neural Network-based Driver Drowsiness Detection System using Linear Prediction Coding Coefficients EEG Changes", J. of Korean Institute of Signal Processing and Systems, Vol. 13, No. 3, pp. 136-141, 2012
- A.V. Oppenheim, R.W. Schafer, "Discrete-Time Signal Processing", pp. 635-650, Prentice Hall, 1999
- H.S. Han, U.P. Chong, "Neural Network Based Detection of Drowsiness with Eyes Open using AR Modeling", IETE Tech. Review, Vol. 33, No, 5, pp. 518-524, 2016 https://doi.org/10.1080/02564602.2015.1118362
- Antonio Guli, Sugit Pal, "Deep Learning with Keras". Acorn Publisher. 2018
- Saito K. "Deep Learning from Scratch". Hanbit Media Inc. 2017