Search Results - stacked sparse autoencoder(sae)

A Semi-Supervised Stacked Autoencoder Using the Pseudo Label for Classification Tasks by Lai, Jie, Wang, Xiaodan, Xiang, Qian, Quan, Wen, Song, Yafei

“… However, as a supervised algorithm, the stacked autoencoder (SAE) only considers labeled samples and is difficult to apply to semi-supervised problems…”
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A Deep Learning Architecture for P300 Detection with Brain-Computer Interface Application by Kundu, S., Ari, S.

“… The character is recognized from the detected P300 signal. In this paper, sparse autoencoder (SAE) and stacked sparse autoencoder…”
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Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery by Qi, Yumei, Shen, Changqing, Wang, Dong, Shi, Juanjuan, Jiang, Xingxing, Zhu, Zhongkui

“… Thus, a stacked sparse autoencoder (SAE)-based machine fault diagnosis method is proposed in this paper…”
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P300 based character recognition using sparse autoencoder with ensemble of SVMs by Kundu, Sourav, Ari, Samit

“… For P300 signal classification, feature extraction is an important step. In this work, deep feature learning techniques based on sparse autoencoder (SAE…”
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A Stacked Autoencoder With Sparse Bayesian Regression for End-Point Prediction Problems in Steelmaking Process by Liu, Chang, Tang, Lixin, Liu, Jiyin

“… Considering the importance of data representation in modeling, the original data are inputted to a stacked autoencoder (SAE…”
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A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis by Sohaib, Muhammad, Kim, Cheol-Hong, Kim, Jong-Myon

“… A hybrid feature pool is used in combination with sparse stacked autoencoder (SAE)-based deep neural networks (DNNs…”
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Deep neural network for semi-automatic classification of term and preterm uterine recordings by Chen, Lili, Xu, Huoyao

“… For this purpose, sparse autoencoder (SAE) based deep neural network (SAE-based…”
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Novel semi-supervised sparse stacked autoencoder integrated with local linear embedding for industrial soft sensing by He, Yan-Lin, Jiang, Yu, Gao, Hui-Hui, Xu, Yuan, Zhu, Qun-Xiong

“…, posing significant challenges for soft sensing. To address these issues, this paper proposes novel Semi-Supervised Sparse Stacked Autoencoder integrated with the Local Linear Embedding algorithm (SS-SAE-LLE…”
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Building feature space of extreme learning machine with sparse denoising stacked-autoencoder by Cao, Le-le, Huang, Wen-bing, Sun, Fu-chun

“… Deep learning algorithms such as stacked autoencoder (SAE) and deep belief network (DBN) are built on learning several levels of representation of the input…”
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Industrial Internet of Things Cyber Threats Detection Through Deep Feature Learning and Stacked Sparse Autoencoder Based Classification by Vijay Anand, R., Magesh, G., Alagiri, I., Brahmam, Madala Guru, Senthil Kumar, C., Kesavan, M., Abdullah, Azween Bin

“…ABSTRACT In recent times, the industrial system has integrated with industrial Internet of Things (IoT) applications to enable the ease of production process…”
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K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder by Bi, Yandong, Wang, Peng, Guo, Xuchao, Wang, Zhijun, Cheng, Shuhan

“… How to speed up training is a problem deserving of study. In order to accelerate training, K-means clustering optimizing deep stacked sparse autoencoder (K-means sparse SAE…”
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Remaining Useful Life Prediction Based on Stacked Sparse Autoencoder and Echo State Network by Yang, Yinghua, Yao, Dandan, Liu, Xiaozhi

“… In this paper, a RUL prediction method based on stacked sparse autoencoder (SAE) and echo state network (ESN) is proposed. Autoencoder (AE…”
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Spectral-spatial stacked autoencoders based on low-rank and sparse matrix decomposition for hyperspectral anomaly detection by Zhao, Chunhui, Zhang, Lili

“… Second, stacked autoencoders (SAE) are employed on the sparse matrix for spectral deep features and on the low-rank matrix for spatial deep features, respectively…”
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End-to-end deep SAE-DNN model for predicting Egyptian buffalo calf sex, weight, and daily milk yield by Issa, Sali, Ali, Montaser Elsayed, Wang, Qi, Al-Saeed, Fatimah A., Abdelrahman, Mohamed

“…In the present study, a novel stacked Sparse Autoencoder-Deep Neural Network (SAE-DNN) learning prediction model was applied to predict calf sex, weight, and daily milk yield for dairy buffalo…”
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Deep learning for pixel-level image fusion: Recent advances and future prospects by Liu, Yu, Chen, Xun, Wang, Zengfu, Wang, Z. Jane, Ward, Rabab K., Wang, Xuesong

“…•The difficulties that exist in conventional image fusion research are analyzed.•The advantages of deep learning (DL) techniques for image fusion are…”
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Deep learning for polyp recognition in wireless capsule endoscopy images by Yuan, Yixuan, Meng, Max Q.‐H.

“… Methods We propose a novel deep feature learning method, named stacked sparse autoencoder with image manifold constraint (SSAEIM…”
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Six Phase Transmission Line Protection Using Bat Algorithm Tuned Stacked Sparse Autoencoder by Rao Althi, Tirupathi, Koley, Ebha, Ghosh, Subhojit, Shukla, Sunil Kumar

“…Six-phase transmission lines have the capability to address the continually evolving power demand. It allows upgrading the power transfer capability of the…”
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A hybrid extreme learning machine and deep belief network framework for sludge bulking monitoring in a dynamic wastewater treatment process by Safder, Usman, Loy-Benitez, Jorge, Nguyen, Hai-Tra, Yoo, ChangKyoo

“… This study develops a hybrid deep-learning-based soft sensor that uses a sparse constraint stacked autoencoder (SAE…”
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Big data driven jobs remaining time prediction in discrete manufacturing system: a deep learning-based approach by Fang, Weiguang, Guo, Yu, Liao, Wenhe, Ramani, Karthik, Huang, Shaohua

“…Implementing advanced big data (BD) analytic is significant for successful incorporation of artificial intelligence in manufacturing. With the widespread…”
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An Enhanced Hierarchical Extreme Learning Machine with Random Sparse Matrix Based Autoencoder by Wang, Tianlei, Lai, Xiaoping, Cao, Jiuwen, Vong, Chi-Man, Chen, Badong

“…Recently, by employing the stacked extreme learning machine (ELM) based autoencoders (ELM-AE) and sparse AEs (SAE), multilayer ELM (ML-ELM…”
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