Výsledky vyhľadávania - "Denoise Autoencoder"

Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images Autor Xing, Chen, Yang, Xiaoquan, Ma, Li

“… We utilized stacked denoise autoencoder (SDAE) method to pretrain the network, which is robust to noise…”
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A Fusion Network With Stacked Denoise Autoencoder and Meta Learning for Lateral Walking Gait Phase Recognition and Multi-Step-Ahead Prediction Autor Cao, Wujing, Li, Changyu, Yang, Lijun, Yin, Meng, Chen, Chunjie, Worawarit, Kobsiriphat, Thanak, Utakapan, Yang, Yizhuang, Yu, Haoyong, Wu, Xinyu

“… We presented a fusion network with stacked denoise autoencoder and meta learning (SDA-NN-ML) to recognize gait phase and predict gait percentage from IMU signals…”
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Ensembling of Stacked Denoise Autoencoder for Phishing Attack Detection Autor Sumathi, K., Sujatha, V.

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An Improved Stacked Denoise Autoencoder with Elu Activation Function for Traffic Data Imputation Autor Narmadha, S., Vijayakumar, Dr V.

“… Deep learning based stacked denoise autoencoder is proposed with efficient Elu activation function to remove noise and impute the missing…”
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stDGAC: A novel identifying spatial domains method via graph attention contrastive network for spatial transcriptomics data Autor Jing, Jing, Gao, Yue, Gao, Ying-Lian, Li, Feng, Wang, Juan, Liu, Jin-Xing

“…Complex biological tissues are composed of many cells in a highly coordinated manner and play a variety of biological functions. In recent years, many methods…”
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Fully Convolution Based Denoise Autoencoder AI Accelerator for ECG Arrhythmia Classification Autor Wu, Yu-Chun, Jhang, Bo-Yu, Lee, Shuenn-Yuh, Chen, Ju-Yi

“…The electrocardiogram (ECG) is a reliable indicator for arrhythmias detection. This paper introduces an arrhythmia classification system designed for…”
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Machine Learning-Enhanced Laser Absorption Spectroscopy for Harsh-Environment Combustion Diagnosis Autor Chen, Yuan, Xia, Jiangnan, Zhang, Rui, Xia, Yikai, Zhou, Minqiu, Fu, Yalei, Ahmed, Ihab, Armstrong, Ian, Upadhyay, Abhishek, Lengden, Michael, Johnstone, Walter, Wright, Paul, Ozanyan, Krikor, Pourkashanian, Mohamed, McCann, Hugh, Liu, Chang

“…Laser absorption spectroscopy (LAS) has been widely adopted as a diagnostic tool for reactive flow-field monitoring in industrial combustion applications…”
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Radiogenomic association of deep MR imaging features with genomic profiles and clinical characteristics in breast cancer Autor Liu, Qian, Hu, Pingzhao

“…Background It has been believed that traditional handcrafted radiomic features extracted from magnetic resonance imaging (MRI) of tumors are normally shallow…”
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Multistage committees of deep feedforward convolutional sparse denoise autoencoder for object recognition Autor Shicao Luo, Yongsheng Ding, Kuangrong Hao

“… The network is trained layer-wise via denoise autoencoder (dA) with L-BFGS to optimize convolutional kernels and no backpropagation is used…”
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Cross-Mapping Net: Unsupervised Change Detection from Heterogeneous Remote Sensing Images Using a Transformer Network Autor Wei, Lifeng, Chen, Gao, Zhou, Qingfeng, Liu, Chanzi, Cai, Chuanbao

“… This paper proposes to replace convolution by transformer. In specific, we first use a stacked convolution denoise autoencoder (SCDAE…”
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Deep learning-based DOA estimation for hybrid massive MIMO receive array with overlapped subarrays Autor Li, Yifan, Shi, Baihua, Shu, Feng, Song, Yaoliang, Wang, Jiangzhou

“…As massive MIMO is a key technology in the future sixth generation (6G), the large-scale antenna arrays are widely considered in direction-of-arrival (DOA)…”
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IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity Autor Liu, Ziqi, Yang, Rui, Liu, Weibo, Liu, Xiaohui

“…) with an entire attention mechanism (EAM) module and a denoise autoencoder module is proposed to remove insensitive features hierarchically by dividing them into two categories…”
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A Structure-Enriched Neural Network for network embedding Autor Qiao, Lisheng, Zhao, Hongke, Huang, Xiaohui, Li, Kai, Chen, Enhong

“…•Introducing the direction tuning parameters into multi-order transition matrices.•Using the denoise autoencoder to do the dimension reduction of multi-order matrices…”
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DNAE-GAN: Noise-free acoustic signal generator by integrating autoencoder and generative adversarial network Autor Kuo, Ping-Huan, Lin, Ssu-Ting, Hu, Jun

“… To resolve these problems, this article proposes an artificial intelligence model that combines a denoise autoencoder with generative adversarial networks…”
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Defective wafer detection using a denoising autoencoder for semiconductor manufacturing processes Autor Fan, Shu-Kai S., Hsu, Chia-Yu, Jen, Chih-Hung, Chen, Kuan-Lung, Juan, Li-Ting

“…Defective wafer detection is essential to avoid loss of yield due to process abnormalities in semiconductor manufacturing. For most complex processes in…”
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Attention-enhanced and trusted multimodal learning for micro-video venue recognition Autor Wang, Bing, Huang, Xianglin, Cao, Gang, Yang, Lifang, Wei, Xiaolong, Tao, Zhulin

“… Denoise autoencoder and sentence2vector methods are applied to extract acoustic and textural features…”
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ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks Autor Wang, Kuan-Chen, Liu, Kai-Chun, Peng, Sheng-Yu, Tsao, Yu

“…). The proposed method adopts a denoise autoencoder structure and powerful nonlinear mapping capability of neural networks for sEMG denoising…”
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Abnormal Traffic Detection: Traffic Feature Extraction and DAE-GAN With Efficient Data Augmentation Autor Li, Zecheng, Chen, Shengyuan, Dai, Hongshu, Xu, Dunyuan, Chu, Cheng-Kang, Xiao, Bin

“… In this article, we propose an accurate abnormal traffic detection method using pseudoanomaly, consisting of an efficient feature extraction framework and a novel denoise autoencoder-generative adversarial network (DAE-GAN) model…”
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Comparative Analysis of Gaussian Filter, Median Filter and Denoise Autoenocoder Autor Kumar, Arvind, Sodhi, Sartaj Singh

“…Images can be enhanced and denoised with the help of filters. In this paper, we use a Gaussian filter, a Median Filter and a Denoising Auto encoder for noise…”
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Security of Intelligent Sensors and Their Collaborative Roles in Human Resource Management in the Development of Smart Cities Autor Wang, Shuwu, Cao, Huijuan, Wang, Dandan, Li, Aining

“… Second, a denoise autoencoder machine model that can be used in human resource management with demographic information is proposed to ensure the security of intelligent sensors…”
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