Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Reference27 articles.
1. Hu, F., Zhou, M., & Yan, P. (2019). Identification of mine water inrush using laser-induced fluorescence spectroscopy combined with one-dimensional convolutional neural network. RSC Advances, 9(14), 7673–7679.
2. Huang, L., Li, J., & Hao, H. (2018). Micro-seismic event detection and location in underground mines by using Convolutional Neural Networks (CNN) and deep learning. Tunnelling and Underground Space Technology, 81, 265–276.
3. Bowen, C., Zhiguo, J., & Haopeng, Z. (2017). Airport detection using end-to-end convolutional neural network with hard example mining. Remote Sensing, 9(11), 1198–1205.
4. Kitagawa, J., Enomoto, K., & Toda, M. (2017). Classification method for bottom sediment from seabed image using convolutional neural network. Journal of the Japan Society for Precision Engineering, 83(12), 1172–1177.
5. Kohiyama, M., Oka, K., & Yamashita, T. (2020). Detection method of unlearned pattern using support vector machine in damage classification based on deep neural network. Structural Control and Health Monitoring, 2020(4), e2552–e2559.
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