Search Results - stacked sparse autoencoder(((ssae OR sae) OR ssad))~

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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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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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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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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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 Human Activity Recognition Using Stacked Sparse Autoencoder (SSAE) Algorithm by Aziz, Firman, Mustamin, Nurul Fathanah, Rijal, Muhammad, Tanniewa, Adam M

“…This study aims to enhance the performance of Human Activity Recognition (HAR) systems by implementing the Stacked Sparse Autoencoder (SSAE…”
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Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology by Jun Xu, Lei Xiang, Renlong Hang, Jianzhong Wu

“…In this paper, a Stacked Sparse Autoencoder (SSAE) based framework is presented for nuclei classification on breast cancer histopathology…”
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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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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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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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Discriminative Feature Learning With Distance Constrained Stacked Sparse Autoencoder for Hyperspectral Target Detection by Shi, Yanzi, Lei, Jie, Yin, Yaping, Cao, Kailang, Li, Yunsong, Chang, Chein-I

“… Unlike supervised networks, unsupervised stacked sparse autoencoders (SSAEs) can learn deep and nonlinear features without any labeled data…”
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Nonlinear Generalized Predictive Control of the Crystal Diameter in CZ-Si Crystal Growth Process Based on Stacked Sparse Autoencoder by Liu, Ding, Zhang, Ni, Jiang, Lei, Zhao, Xiao-Guo, Duan, Wei-Feng

“… predictive controller (GPC) based on the stacked sparse autoencoder (SSAE) is proposed under the new control structure…”
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A Stacked Sparse Autoencoder-Based Detector for Automatic Identification of Neuromagnetic High Frequency Oscillations in Epilepsy by Guo, Jiayang, Yang, Kun, Liu, Hongyi, Yin, Chunli, Xiang, Jing, Li, Hailong, Ji, Rongrong, Gao, Yue

“… Therefore, we employ the stacked sparse autoencoder (SSAE) and propose an SSAE-based MEG HFOs (SMO…”
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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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Feature Selection with Optimal Stacked Sparse Autoencoder for Data Mining by Ahmed Hamza, Manar, Ben Haj Hassine, Siwar, Abunadi, Ibrahim, N. Al-Wesabi, Fahd, Alsolai, Hadeel, Mustafa Hilal, Anwer, Yaseen, Ishfaq, Motwakel, Abdelwahed

“… This study proposes an Improved Sailfish Optimizer-based Feature Selection with Optimal Stacked Sparse Autoencoder (ISOFS-OSSAE…”
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Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass by Shao, Zhenfeng, Zhang, Linjing, Wang, Lei

“…Timely, spatially complete, and reliable forest above-ground biomass (AGB) data are a prerequisite to support forest management and policy formulation…”
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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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A denoising method for ECG signals based on CEEMDAN-TSO and stacked sparse autoencoders by Li, Shun, Li, Juan, Mao, Jiandong, Hong, Wei, Sun, Ao

“…), Tuna Swarm Optimization (TSO), and Stacked Sparse Autoencoder (SSAE), named CEEMDAN-TSO-SSAE…”
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High Parameter Frequency Resolution Encoding Scheme for Spatial Audio Objects Using Stacked Sparse Autoencoder by Wu, Yulin, Hu, Ruimin, Wang, Xiaochen, Hu, Chenhao, Ke, Shanfa

“… (stacked sparse autoencoder) neural network and further used for recovering the audio objects…”
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Abnormal Dynamic Recognition of Space Targets from ISAR Image Sequences with SSAE-LSTM Network by Duan, Jia, Ma, Yan, Zhang, Lei, Xie, Pengfei

“… With the accommodation of the stacked sparse autoencoder (SSAE) network joint sparsity constraint, the geometrical feature flow of an ISAR image sequence is learned to represent the target dynamics concisely…”
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