Search Results - "stacked sparse autoencoder"

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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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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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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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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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

“…Protein-protein interactions (PPIs) play an important role in most of the biological processes. How to correctly and efficiently detect protein interaction is…”
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Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction by Liu, Hui, Chen, Chao

“…, and adaptive decomposition-based error correction. Apart from the traditional average-based resolution transformation method, a two-layer stacked sparse autoencoder (SSAE…”
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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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Ischemic stroke lesion segmentation using stacked sparse autoencoder by Praveen, G.B., Agrawal, Anita, Sundaram, Ponraj, Sardesai, Sanjay

“… In this work, we propose an unsupervised featured learning approach based on stacked sparse autoencoder (SSAE…”
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Effective Feature Extraction via Stacked Sparse Autoencoder to Improve Intrusion Detection System by Yan, Binghao, Han, Guodong

“… So, in this paper, we propose using the stacked sparse autoencoder (SSAE), an instance of a deep learning strategy, to extract high-level feature representations of intrusive behavior information…”
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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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Latent Relationship Guided Stacked Sparse Autoencoder for Hyperspectral Imagery Classification by Liu, Li, Wang, Yuebin, Peng, Junhuan, Zhang, Liqiang, Zhang, Bing, Cao, Yun

“… To address these problems, a novel unsupervised feature learning method called latent relationship guided the stacked sparse autoencoder (LRSSAE…”
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Stacked Sparse Autoencoder in PolSAR Data Classification Using Local Spatial Information by Zhang, Lu, Ma, Wenping, Zhang, Dan

“… Among various classification techniques, the stacked sparse autoencoder (SSAE) is a kind of deep learning method that can automatically learn useful features layer by layer in an unsupervised manner…”
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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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PolSAR image classification based on multi-scale stacked sparse autoencoder by Zhang, Lu, Jiao, Licheng, Ma, Wenping, Duan, Yiping, Zhang, Dan

“… Hence, this paper proposes a multi-scale feature extraction method based on stacked sparse autoencoder (SSAE…”
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Breath analysis based early gastric cancer classification from deep stacked sparse autoencoder neural network by Aslam, Muhammad Aqeel, Xue, Cuili, Chen, Yunsheng, Zhang, Amin, Liu, Manhua, Wang, Kan, Cui, Daxiang

“… In this study, we proposed a new method for feature extraction using a stacked sparse autoencoder to extract the discriminative features from the unlabeled data of breath samples…”
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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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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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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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Hyperband Tuned Deep Neural Network With Well Posed Stacked Sparse AutoEncoder for Detection of DDoS Attacks in Cloud by Bhardwaj, Aanshi, Mangat, Veenu, Vig, Renu

“…Cloud computing has very attractive features like elastic, on demand and fully managed computer system resources and services. However, due to its distributed…”
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Improved Heart Disease Prediction Using Particle Swarm Optimization Based Stacked Sparse Autoencoder by Mienye, Ibomoiye Domor, Sun, Yanxia

“… An enhanced stacked sparse autoencoder network (SSAE) is developed to achieve efficient feature learning…”
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