Suchergebnisse - "Denoising autoencoder network"

Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model von Mei, Shuang, Wang, Yudan, Wen, Guojun

“… This approach is used to reconstruct image patches with a convolutional denoising autoencoder network at multiple Gaussian pyramid levels and to synthesize detection results from the corresponding resolution channels …”
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Infrared Dim and Small Target Detection Based on Denoising Autoencoder Network von Shi, Manshu, Wang, Huan

“… ) based on denoising autoencoder network and convolutional neural network, which treats small targets as “noise …”
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Wind turbine generator early fault diagnosis using LSTM-based stacked denoising autoencoder network and stacking algorithm von Yan, Junshuai, Liu, Yongqian, Meng, Hang, Li, Li, Ren, Xiaoying

“… To reduce the significant economic losses caused by the fault deterioration of wind turbine generators, it is urgent to detect and diagnose the early faults of …”
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Molecular Dynamics Properties without the Full Trajectory: A Denoising Autoencoder Network for Properties of Simple Liquids von Moradzadeh, Alireza, Aluru, N R

“… Molecular dynamics (MD) simulation is a popularly used computational tool to compute microscopic and macroscopic properties of a variety of systems including …”
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Temporal convolutional denoising autoencoder network for air pollution prediction with missing values von Samal, K. Krishna Rani, Babu, Korra Sathya, Das, Santos Kumar

“… In recent years, people are paying more attention to improve air quality levels to mitigate its negative impact on human health. So, effective air pollution …”
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Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network von Yan, Ting, Yan, Zhenpeng, Liu, Lili, Zhang, Xiaoyu, Chen, Guohui, Xu, Feng, Li, Ying, Zhang, Lijuan, Peng, Meilan, Wang, Lu, Li, Dandan, Zhao, Dong

“… This study aimed to establish and validate a prognostic model based on magnetic resonance imaging and clinical features to predict the survival time of …”
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Identification Method for Missing Cotter Pins in Catenary Systems Based on Stacked Denoising Autoencoder Network von SHAN Chonghao

“… Objective When using convolutional neural networks (CNNs) for the state detection of catenary system cotter pins, the imbalance between positive and negative …”
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Evaluation Algorithm of Teaching Work Quality in Colleges and Universities Based on Deep Denoising Autoencoder Network von Liu, Yu

“… One of the most significant components of the teaching department’s evaluation of teaching quality is evaluating teachers’ performance. With the acceleration …”
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Visual tracking based on stacked Denoising Autoencoder network with genetic algorithm optimization von Hua, Weixin, Mu, Dejun, Guo, Dawei, Liu, Hang

“… Visual object tracking in dynamic environments with severe appearance variations is a significant problem in the computer vision field. This paper proposes a …”
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Deep frequency-recurrent priors for inverse imaging reconstruction von He, Zhuonan, Hong, Kai, Zhou, Jinjie, Liang, Dong, Wang, Yuhao, Liu, Qiegen

“… •A multi-profile high-frequency transform-guided denoising autoencoder for attainting deep frequency recurrent prior.•We extract a set of multi-profile …”
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Multi-Channel and Multi-Model-Based Autoencoding Prior for Grayscale Image Restoration von Li, Sanqian, Qin, Binjie, Xiao, Jing, Liu, Qiegen, Wang, Yuhao, Liang, Dong

“… In this paper, we develop a multi-channel and multi-model-based denoising autoencoder network as image prior for solving IR problem …”
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A Novel PAPR Reduction Scheme Based on Deep Autoencoder Network for FBMC Systems von Cheng, Xing, Chen, Deli, Li, Shuaishuai, He, Shanbao, Kong, Dejin

“… Filter bank multicarrier (FBMC) is a crucial complementary waveform to orthogonal frequency-division multiplexing (OFDM) in future communication systems …”
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自编码网络在JavaScript恶意代码检测中的应用研究 von 龙廷艳, 万良, 丁红卫

“… TP391; 针对传统机器学习特征提取方法很难发掘JavaScript恶意代码深层次本质特征的问题,提出基于堆栈式稀疏降噪自编码网络(sSDAN)的JavaScript恶意代码检测方法.首先 …”
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Stacked Denoising Autoencoder network for short-term prediction of electrical Algerian load von Hiba, Chelabi, Tarek, Khadir Mohamed, Belkacem, Chikhaoui

“… Short-term load forecasting is a topic of considerable interest; it ensures the balance between the production and consumption one day ahead. In this paper, …”
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Robust inverse-design of scattering spectrum in core-shell structure using modified denoising autoencoder neural network von Hu, Baiqiang, Wu, Bei, Tan, Dong, Xu, Jing, Chen, Yuntian

“… circumstances that the exact target response may not exist. We introduce a modified denoising autoencoder network to ensure the robustness of neural network-based inverse design, which consists of (1 …”
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Accelerated model‐based iterative reconstruction strategy for sparse‐view photoacoustic tomography aided by multi‐channel autoencoder priors von Song, Xianlin, Zhong, Wenhua, Li, Zilong, Peng, Shuchong, Zhang, Hongyu, Wang, Guijun, Dong, Jiaqing, Liu, Xuan, Xu, Xiaoling, Liu, Qiegen

“… ‐channel autoencoder priors was proposed. A multi‐channel denoising autoencoder network was designed to learn prior information, which provides constraints for model …”
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scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering von Wang, Yunhe, Yu, Zhuohan, Li, Shaochuan, Bian, Chuang, Liang, Yanchun, Wong, Ka-Chun, Li, Xiangtao

“… Single-cell RNA sequencing (scRNA-seq) is an increasingly popular technique for transcriptomic analysis of gene expression at the single-cell level. Cell-type …”
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An Efficient Convolutional Denoising Autoencoder-Based BDS NLOS Detection Method in Urban Forest Environments von Qin, Yahang, Li, Zhenni, Xie, Shengli, Zhao, Haoli, Wang, Qianming

“… The BeiDou Navigation Satellite System (BDS) provides real-time absolute location services to users around the world and plays a key role in the rapidly …”
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Test time augmentation by regular shifting for deep denoising autoencoder networks von Rodriguez-Rodriguez, Jose A., Molina-Cabello, Miguel A., Benitez-Rochel, Rafaela, Lopez-Rubio, Ezequiel

“… Image restoration, which is the process of denoising noisy images in order to recover their latent clean images, has been frequently addressed. The importance …”
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Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning von Gidaris, Spyros, Komodakis, Nikos

“… To build our meta-model we make use of two main innovations: we propose the use of a Denoising Autoencoder network (DAE) that (during training …”
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