Search Results - Sparse stacked autoencoder

GRU‐based stacked sparse autoencoder with attention mechanism for process monitoring by Miao, Zengdi, Wu, Ping, Wu, Zhenquan, Jia, Xiangjun, Xu, Hui, Jiang, Jian

“… In this work, a gated recurrent unit‐based stacked sparse autoencoder with attention mechanism (GRU‐SSAE‐AM…”
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SSAE‐KPLS: A quality‐related process monitoring via integrating stacked sparse autoencoder with kernel partial least squares by Ye, Zhenyu, Wu, Ping, He, Yuchen, Pan, Haipeng

“…‐related process monitoring method via integrating stacked sparse autoencoder (SSAE) with KPLS (SSAE‐KPLS). First, an SSAE model is employed to exploit the nonlinearity within process variables…”
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RETRACTION: Optimization Using Internet of Agent Based Stacked Sparse Autoencoder Model for Heart Disease Prediction

“…RETRACTION: V. Baviskar, M. Verma, P. Chatterjee, G. Singal and T. R. Gadekallu, “Optimization Using Internet of Agent Based Stacked Sparse Autoencoder Model…”
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Unsupervised Spectral-Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification by Tao, Chao, Pan, Hongbo, Li, Yansheng, Zou, Zhengrou

“… This is achieved by learning a feature mapping function based on stacked sparse autoencoder. Considering that hyperspectral imagery (HSI…”
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Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder: Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder by Wang, Shui-Hua, Satapathy, Suresh Chandra, Zhou, Qinghua, Zhang, Xin, Zhang, Yu-Dong

“…) as the feature extractor and deep stacked sparse autoencoder (DSSAE) as the classifier. In addition, 18-way data augmentation is employed to avoid overfitting…”
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SSAE‐MLP: Stacked sparse autoencoders‐based multi‐layer perceptron for main bearing temperature prediction of large‐scale wind turbines by Xiao, Xiaocong, Liu, Jianxun, Liu, Deshun, Tang, Yufei, Dai, Juchuan, Zhang, Fan

“… To achieve the goal, this paper proposes a novel deep learning approach named stacked sparse autoencoder multi‐layer perceptron (SSAE‐MLP…”
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Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network by Wang, Yan-Bin, You, Zhu-Hong, Li, Xiao, Jiang, Tong-Hai, Chen, Xing, Zhou, Xi, Wang, Lei

“…). Then, these extracted features were reconstructed using the stacked autoencoder. Finally, a novel…”
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Deep Stacked Sparse Autoencoders – A Breast Cancer Classifier by Munir, Muhammad Asif, Aslam, Muhammad Aqeel, Shafique, Muhammad, Ahmed, Rauf, Mehmood, Zafar

“… In this article, Deep Stacked Sparse Autoencoders for breast cancer diagnostic and classification are proposed…”
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Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning by Liu, Bin, Zhao, Wan-lin, Su, Hua, Ma, Jian

“…Because they are key components of aircraft, improving the safety, reliability and economy of engines is crucial. To ensure flight safety and reduce the cost…”
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Fault classification based on variable‐weighted dynamic sparse stacked autoencoder for industrial processes by Dong, Jie, Tu, Yanan, Peng, Kaixiang

“… In this paper, a fault classification method based on a variable‐weighted dynamic sparse stacked autoencoder is proposed…”
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Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network by Sohaib, Muhammad, Kim, Jong-Myon

“… In this study, using complex envelope spectra and stacked sparse autoencoder…”
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Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN-based VANET by Polat, Huseyin, Turkoglu, Muammer, Polat, Onur

“… In this study, the stacked sparse autoencoder (SSAE) + Softmax classifier deep network model is proposed to detect DDoS attacks targeting SDN-based VANETs…”
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Novel Pelican Optimization Algorithm (POA) With Stacked Sparse Autoencoder (SSAE) Based IDS for Network Security by Kanimozhi, R., Neela Madheswari, A.

“… The proposed IDS, also termed as the POA‐SSAE IDS model (pelican optimization model‐stacked…”
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Improved Diagnostic Approach for BRB Detection and Classification in Inverter-Driven Induction Motors Employing Sparse Stacked Autoencoder (SSAE) and LightGBM by Khan, Muhammad Amir, Asad, Bilal, Vaimann, Toomas, Kallaste, Ants

“…This study introduces an innovative approach to diagnostics, employing a unique combination of techniques including a stratified group K-fold cross-validation method and a sparse stacked autoencoder (SSAE) alongside LightGBM…”
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Latent Feature‐Based Type 2 Diabetes Prediction Using a Hybrid Stacked Sparse Autoencoder and Machine Learning Models by Abdussamad, Daud, Hanita, Sokkalingam, Rajalingam, Zubair, Muhammad, Khan, Iliyas Karim, Mahmood, Zafar

“… While conventional Stacked Sparse Autoencoders (SSAE) can capture key features in dense data, they typically struggle with high…”
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Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine by Jiang, Tonghai, Zhang, Libo, Zhou, Xi, Cheng, Li, Li, Liping, You, Zhuhong, Wang, Yanbin, Li, Xiao

“… This method was developed based on a deep learning algorithm-stacked sparse autoencoder (SSAE) combined with a Legendre moment…”
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Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images by Jun Xu, Lei Xiang, Qingshan Liu, Gilmore, Hannah, Jianzhong Wu, Jinghai Tang, Madabhushi, Anant

“…Automated nuclear detection is a critical step for a number of computer assisted pathology related image analysis algorithms such as for automated grading of…”
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Combustion stability monitoring through flame imaging and stacked sparse autoencoder based deep neural network by Han, Zhezhe, Hossain, Md. Moinul, Wang, Yuwei, Li, Jian, Xu, Chuanlong

“…•A novel deep learning model is established for predicting combustion stability.•Automatic generation of combustion stability label is achieved.•Quantitative…”
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Post-fault prediction of transient instabilities using stacked sparse autoencoder by Mahdi, Mohammed, Genc, V.M. Istemihan

“…•A fast and robust method is proposed for transient stability assessment.•Stacked sparse autoencoder is used as a stability classification algorithm…”
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Recognition of rock–coal interface in top coal caving through tail beam vibrations by using stacked sparse autoencoders by Zhang, Guoxin, Wang, Zengcai, Zhao, Lei

“…This paper provides a novel rock-coal interface recognition method based on stacked sparse autoencoders (SSAE…”
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