Výsledky vyhledávání - Multi-scale sparse autoencoder

An industrial process monitoring method based on fusion of multi-scale sparse autoencoder and dual-branch slow feature architecture Autor Ling, Guobi, Wang, Zhiwen, Wang, Jieying, Shi, Yaoke, Li, Long, Zeng, Jingxiao

“…•MSAE-DSFA merges multi-scale sparse AEs and dual slow feature for monitoring.•Tackles info redundancy, nonlinearity and slow faults in industrial processes…”
Získat plný text

PolSAR image classification based on multi-scale stacked sparse autoencoder Autor Zhang, Lu, Jiao, Licheng, Ma, Wenping, Duan, Yiping, Zhang, Dan

“… Hence, this paper proposes a multi-scale feature extraction method based on stacked sparse autoencoder (SSAE…”
Získat plný text

An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature Fusion Based on Information Entropy Autor Shang, Zhiwu, Li, Wanxiang, Gao, Maosheng, Liu, Xia, Yu, Yan

“… First, a normal autoencoder, denoising autoencoder, sparse autoencoder, and contractive autoencoder are used in parallel to construct a multi-scale deep neural network feature extraction structure…”
Získat plný text

Anomaly Detection In Retinal Images Using Multi-Scale Deep Feature Sparse Coding Autor Das, Sourya Dipta, Dutta, Saikat, Shah, Nisarg A., Mahapatra, Dwarikanath, Ge, Zongyuan

“… We have proposed a simple, memory efficient, easy to train method which followed a multi-step training technique that incorporated autoencoder training and Multi-Scale Deep Feature Sparse Coding (MDFSC…”
Získat plný text

SSAE‐MLP: Stacked sparse autoencoders‐based multi‐layer perceptron for main bearing temperature prediction of large‐scale wind turbines Autor 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…”
Získat plný text

Enhancing the robustness of the 1-D CNN model through NIRS data augmentation based on sparse autoencoder and CARS feature selection for mango DMC determination Autor Yang, Dongfeng, Hu, Jun

“… In this paper, we propose a spectral data augmentation method based on the sparse autoencoder and establish a one-dimensional convolutional model to predict mango DMC…”
Získat plný text

Rethinking link prediction: A multi-scale graph masked autoencoder Autor Zhang, Guotai, Zuo, Enguang, Yan, Ziwei, Chen, Chen, Chen, Cheng, Lv, Xiaoyi

“… Therefore, we revisit these two approaches from a novel perspective and propose a multi-scale graph masked autoencoder (MS-GMAE…”
Získat plný text

Multiscale Mesh Deformation Component Analysis With Attention-Based Autoencoders Autor Yang, Jie, Gao, Lin, Tan, Qingyang, Huang, Yi-Hua, Xia, Shihong, Lai, Yu-Kun

“… The attention mechanism is designed to learn to softly weight multi-scale deformation components in active deformation regions, and the stacked attention-based autoencoder is learned to represent…”
Získat plný text

Multi source heterogeneous data diagnosis method of rotating machinery based on parameter collaborative optimization of multi-scale convolutional autoencoder Autor Yang, Xiaoli

“… data diagnosis method based on parameter collaborative optimization multi-scale convolutional autoencoder (MSCAE) is proposed…”
Získat plný text

An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature Fusion Based on Information Entropy Autor Zhiwu Shang, Wanxiang Li, Maosheng Gao, Xia Liu, Yan Yu

“… entropy.First,a normal autoencoder,denoising autoencoder,sparse autoencoder,and contractive autoencoder are used in parallel to construct a multi-scale deep neural network feature extrac-tion…”
Získat plný text

Hyperspectral anomaly detection with semisupervised variational background inference and multi-scale masked convolutions Autor Li, Zhongwei, Wei, Jie, Wang, Leiquan, Yang, Yajie, Wang, Yuewen

“… To address these problems, we propose a novel hyperspectral anomaly detection method with semisupervised variational background inference and a multi-scale masked convolutions network, termed SVBMCN…”
Získat plný text

Spectral-spatial hyperspectral image classification combining multi-scale bi-exponential edge-preserving filtering and SUSAN edge detector Autor Wan, Xiaoqing, Zhao, Chunhui

“… First, the multi-scale bi-exponential edge-preserving smoother (BEEPS) is introduced into HSI for the first time…”
Získat plný text

Learning a compact latent representation of the Bag-of-Parts model Autor Xiaozhi Chen, Huimin Ma

“… We address this problem by employing spectral clustering and a multi-column coding scheme. The BoP model is viewed as a multi-scale convolutional model and additional…”
Získat plný text

Multi‐scale feature fusion pyramid attention network for single image dehazing Autor Liu, Jianlei, Liu, Peng, Zhang, Yuanke

“… SDF considers multi‐scale as well as channel‐level fusion to provide feature information under different receptive fields while also highlighting important…”
Získat plný text

Deep Learning in Image Processing and Pattern Recognition

“…This Reprint aims to provide readers with an extensive insight into the latest developments in image processing technology. As images are the main method by…”
Získat plný text

Multi-stream pyramid collaborative network for spectral unmixing Autor Wang, Jie, Ni, Mengying, Wang, Zhixiang, Yan, Yu, Cheng, Xiang, Xu, Jindong

“… Therefore, we propose a collaborative unmixing network with a multi-scale pyramid structure to capture both global and local features simultaneously…”
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

“… To realize representative features mining and automatic recognition of bearing health condition, a diagnostic model of stacked sparse denoising autoencoder (SSDAE…”
Získat plný text

A Multi-Scale Feature Extraction Framework for Monitoring in Municipal Wastewater Treatment Plants Autor Zhao, Yaqian, Han, Honggui, Wu, Xiaolong

“… To address this issue, we propose MSFEM (Multi-Scale Feature Extraction Method), a framework that integrates temporal alignment, multi-scale self-attention, and sparse representation learning…”
Získat plný text

A Multivariate Time Series Anomaly Detection Model Based on Spatio-Temporal Dual Features Autor Wang, Fangwei, Yan, Man, Li, Qingru, Wang, Changguang

“… Specifically, a deep autoencoder is employed to capture the spatial features of multivariate time series data, while a multi-scale sparse Transformer network is used to extract the temporal features…”
Získat plný text

An automatic and integrated self-diagnosing system for the silting disease of drainage pipelines based on SSAE-TSNE and MS-LSTM Autor Di, Danyang, Wang, Dianchang, Fang, Hongyuan, He, Qiang, Zhou, Lifen, Chen, Xianming, Sun, Bin, Zhang, Jinping

“…•Multi-scale sampling improves the accuracy and robustness of siltation diagnosis. The regular detection and diagnosis mechanism for the silting disease of drainage pipelines (SDP…”
Získat plný text