Suchergebnisse - stack sparse autoencoder deep learning model ((ssae OR sae))~

Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network von Amin, Javeria, Anjum, Muhammad Almas, Sharif, Muhammad, Rehman, Amjad, Saba, Tanzila, Zahra, Rida

“… In Phase III, segmented images are passed to the stack sparse autoencoder (SSAE …”
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Denoising magnetic resonance spectroscopy (MRS) data using stacked autoencoder for improving signal‐to‐noise ratio and speed of MRS von Wang, Jing, Ji, Bing, Lei, Yang, Liu, Tian, Mao, Hui, Yang, Xiaofeng

“… ) to achieve sufficient SNR comes at the cost of a long acquisition time. Purpose We propose to use deep …”
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PEMFC Residual Life Prediction Using Sparse Autoencoder-Based Deep Neural Network von Liu, Jiawei, Li, Qi, Han, Ying, Zhang, Guorui, Meng, Xiang, Yu, Jiaxi, Chen, Weirong

“… ) under dynamic operating conditions, this article proposes a PEMFC RUL forecast technique based on the sparse autoencoder (SAE …”
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Deep Neural Network Based on A Stacked Autoencoder For 3D-Finger Knuckle Recognition von Al-Janabi, Dua'a Hamed, Al-Juboori, Ali Mohsin

“… This paper offers an effective deep learning technique, stacked sparse autoencoders (SSAEs), to identify the individual through a 3d finger knuckle …”
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Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder von Dai, Juying, Tang, Jian, Shao, Faming, Huang, Shuzhan, Wang, Yangyang

“… The sparse criterion in SAE, corrupting operation in DAE and reasonable designing of the stack order of autoencoders help to mine essential information of the input and improve fault pattern classification robustness …”
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Deep Learning Model of Object Classification Feature Based on HOG von HE Xiping,ZHANG Qionghua,LIU Bo

“… )-based feature deep learning model for object classification is proposed.For the requirements of high timeliness,offline deep learning strategy is applied to the classifier model to save its online training …”
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Revolutionizing Software Defect Prediction Through Deep Learning von G, Selvin Jose, Charles, J

“… ) techniques, specifically focusing on Convolutional Neural Networks (CNN) and Stack Sparse Autoencoders (SSAE …”
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Design of peer-to-peer energy trading in transactive energy management for charge estimation of lithium-ion battery on hybrid electric vehicles von Annamalai, Subramanian, Mangaiyarkarasi, S.P., Rani, M.Santhosh, Ashokkumar, V., Gupta, Deepak, Rodrigues, Joel JPC

“… •To develop optimal machine learning based SOC estimation (OML-SOCE) model for HEVs in TEM.•SSAE are optimally adjusted by the use of SSA in such a way that the prediction performance can be considerably improved …”
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EBDM: Ensemble binary detection models for multi-class wireless intrusion detection based on deep neural network von Tseng, Chinyang Henry, Chang, Ya-Ting

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基于HOG的目标分类特征深度学习模型 von 何希平 张琼华 刘波

“… 为提高低配置计算环境中的视觉目标实时在线分类特征提取的时效性和分类准确率,提出一种新的目标分类特征深度学习模型。根据高时效性要求,选用分类器模型离线深度学习的策 …”
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