Suchergebnisse - stacked sparse autoencoder(((ssae OR sae) OR ssad))

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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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Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis von Zhang, Xiaofan, Dou, Hang, Ju, Tao, Xu, Jun, Zhang, Shaoting

“… from the cell detection results by a stacked sparse autoencoder. Because of the dramatically different characteristics and representations of these heterogeneous features (i.e …”
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Discriminative Feature Learning With Distance Constrained Stacked Sparse Autoencoder for Hyperspectral Target Detection von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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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