Výsledky vyhledávání - stack sparse autoencoder deep learning model (sae)

Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network Autor 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…”
Získat plný text

Denoising magnetic resonance spectroscopy (MRS) data using stacked autoencoder for improving signal‐to‐noise ratio and speed of MRS Autor 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…”
Získat plný text

PEMFC Residual Life Prediction Using Sparse Autoencoder-Based Deep Neural Network Autor 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…”
Získat plný text

Deep Neural Network Based on A Stacked Autoencoder For 3D-Finger Knuckle Recognition Autor 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…”
Získat plný text

Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder Autor 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…”
Získat plný text

Deep Learning Model of Object Classification Feature Based on HOG Autor 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…”
Získat plný text

EBDM: Ensemble binary detection models for multi-class wireless intrusion detection based on deep neural network Autor Tseng, Chinyang Henry, Chang, Ya-Ting

Získat plný text

基于HOG的目标分类特征深度学习模型 Autor 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…”
Získat plný text