Search Results - "Convolutional sparse autoencoder"

Detection and Classification of Transmission Line Faults Based on Unsupervised Feature Learning and Convolutional Sparse Autoencoder by Chen, Kunjin, Hu, Jun, He, Jinliang

“…We present in this paper a novel method for fault detection and classification in power transmission lines based on convolutional sparse autoencoder. Contrary…”
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Deep learning powered rapid lifetime classification of lithium-ion batteries by Fei, Zicheng, Zhang, Zijun, Yang, Fangfang, Tsui, Kwok-Leung

“…Lithium-ion batteries (LIBs) are currently the primary energy storage devices for modern electric vehicles (EVs). Early-cycle lifetime/quality classification…”
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A hybrid deep neural network based prediction of 300 MW coal-fired boiler combustion operation condition by Han, ZheZhe, Huang, YiZhi, Li, Jian, Zhang, Biao, Hossain, Md. Moinul, Xu, ChuanLong

“…In power generation industries, boilers are required to be operated under a range of different conditions to accommodate demands for fuel randomness and energy…”
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XAI-DSCSA: explainable-AI-based deep semi-supervised convolutional sparse autoencoder for facial expression recognition by Mohana, M., Subashini, P., Ghinea, George

“…Facial expression recognition (FER) continues to be a vibrant research field, driven by the increasing need for its practical applications in areas such as…”
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Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest by Yang, Na, Zhang, Zhenkai, Yang, Jianhua, Hong, Zenglin

“…According to the characteristic that mineralized-anomaly samples have larger reconstruction errors, traditional autoencoder networks have been applied widely…”
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Artists Identification Using Convolutional Sparse Autoencoder by Putri, Vinnia Kemala, Indra Kurniadi, Felix

“…This paper describes a method to identify artists with a similar painting technique using a semi-unsupervised learning approach. In this paper, we compared Van…”
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Unsupervised hierarchical convolutional sparse auto-encoder for high spatial resolution imagery scene classification by Han, Xiaobing, Zhong, Yanfei, Zhao, Bei, Zhang, Liangpei

“…Recently, efficiently representing the scenes from a large volume of high spatial resolution (HSR) images is a critical problem to be solved. Traditional scene…”
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