Search Results - Multi-scale convolutional autoencoder

Convolutional variational autoencoder and multi-scale attention convolutional neural network based diagnostics on filament current sensors for mass spectrometers by Li, Xinshuo, Zhou, Wenxing, Yin, Jiancheng, Zhang, Zhen, Huang, Gang, Sheng, Yunlong, Li, Pinghua, Zhuang, Xuye

“… of the filament current sensor when the fault samples are insufficient. The improved convolutional variational autoencoder (CVAE…”
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Vessel Trajectory Anomaly Detection Based on Multi-scale Convolutional Autoencoder by Qi, Yuhao, Yang, Jiaxuan, Xu, Dongsheng, Shao, Ran, Duan, Yangyang, Wang, Yangjie

“… To address these issues, a method of vessel trajectory anomaly detection based on Multi-scale Convolutional Autoencoder (MCAE…”
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Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model by 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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An optimized multi-scale convolutional autoencoder for efficient abnormal event detection using rgb, depth and optical flow data by Alqahtani, Abdullah

“… contributing to enhanced security measures in public spaces. The proposed framework utilizes a Multiscale Convolutional Autoencoder (MSCAE…”
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Multi source heterogeneous data diagnosis method of rotating machinery based on parameter collaborative optimization of multi-scale convolutional autoencoder by Yang, Xiaoli

“… data diagnosis method based on parameter collaborative optimization multi-scale convolutional autoencoder (MSCAE) is proposed…”
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GPR B-Scan Image Denoising via Multi-Scale Convolutional Autoencoder with Data Augmentation by Luo, Jiabin, Lei, Wentai, Hou, Feifei, Wang, Chenghao, Ren, Qiang, Zhang, Shuo, Luo, Shiguang, Wang, Yiwei, Xu, Long

“… This paper proposes a multi-scale convolutional autoencoder (MCAE) to denoise GPR data. At the same time, to solve the problem of training dataset insufficiency…”
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Rolling Bearing Health Indicator Extraction and RUL Prediction Based on Multi-Scale Convolutional Autoencoder by Ye, Zijian, Zhang, Qiang, Shao, Siyu, Niu, Tianlin, Zhao, Yuwei

“… use of sensor information. To address the above issues, this paper proposes an end-to-end HI construction method called a multi-scale convolutional autoencoder (MSCAE…”
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Colour‐patterned fabric defect detection based on an unsupervised multi‐scale U‐shaped denoising convolutional autoencoder model by Zhang, Hongwei, Liu, Shuting, Tan, Quanlu, Lu, Shuai, Yao, Le, Ge, Zhiqiang

“…‐patterned fabric images. Second, a multi‐scale U‐shaped denoising convolutional autoencoder was modelled using defect…”
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An improved YOLOv8 model and mask convolutional autoencoder for multi-scale defect detection of ceramic tiles by Liu, Yuesheng, Qiu, Weibin, Fu, Kailong, Chen, Xindu, Wu, Lei, Sun, Mingyang

“…•A semi-random Mask Convolutional Autoencoder (SR-MCAE) is proposed to highlight and label defects on ceramic tile image…”
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Anomaly detection for multivariate times series through the multi-scale convolutional recurrent variational autoencoder by Xie, Tianming, Xu, Qifa, Jiang, Cuixia

“…To realize the anomaly detection for industrial multi-sensor data, we develop a novel multi-scale convolutional recurrent variational autoencoder (MSCRVAE) model…”
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Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system by Teutsch, Philipp, Pfeffer, Philipp, Sharifi Ghazijahani, Mohammad, Cierpka, Christian, Schumacher, Jörg, Mäder, Patrick

“… Within the context of reduced-order models, convolutional autoencoders (CAEs) pose a universally applicable alternative to conventional approaches…”
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Pansharpening based on convolutional autoencoder and multi-scale guided filter by AL Smadi, Ahmad, Yang, Shuyuan, Kai, Zhang, Mehmood, Atif, Wang, Min, Alsanabani, Ala

“…In this paper, we propose a pansharpening method based on a convolutional autoencoder…”
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A multi-scale low rank convolutional autoencoder for process monitoring of nonlinear uncertain systems by Yin, Jiawei, Yan, Xuefeng

“… To monitor such processes, a multi scale low-rank convolutional autoencoder (MLRCAE) for process monitoring based on uncertain measurement data is proposed…”
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A convolutional autoencoder model with weighted multi-scale attention modules for 3D skeleton-based action recognition by Khezerlou, F., Baradarani, A., Balafar, M.A.

“…The 3D skeleton sequences of action can be recognized based on series of meaningful movements including changes in the direction and geometry features of the…”
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Circular RNA-Drug Association Prediction Based on Multi-Scale Convolutional Neural Networks and Adversarial Autoencoders by Wang, Yao, Lei, Xiujuan, Chen, Yuli, Guo, Ling, Wu, Fang-Xiang

“… In this study, we propose a circRNA-drug association prediction method based on multi-scale convolutional neural networks (MSCNN…”
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Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data by Gao, Di, Yang, Guanghao, Shen, Jiarun, Wu, Fang, Ji, Chao

“… assessment in adolescents by employing a combination of a two-dimensional convolutional autoencoder (2DCNN-AE…”
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spaMGCN: a graph convolutional network with autoencoder for spatial domain identification using multi-scale adaptation by Zhang, Tianjiao, Zhang, Hongfei, Zhao, Zhongqian, Shao, Saihong, Jiang, Yucai, Zhang, Xiang, Wang, Guohua

“… By integrating spatial transcriptomics and spatial epigenomic data through an autoencoder and a multi-scale adaptive graph convolutional network, spaMGCN outperforms baseline methods…”
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Distribution transformer mechanical faults diagnosis method incorporating cross-domain feature extraction and recognition of unknown-type faults by Huang, Haiyan, Gao, Wei, Yang, Gengjie

“…•The problem of difficult selection of multi-scale convolutional kernel size in CFMS-CAE is solved using the crayfish optimization algorithm(COA…”
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Dynamic Texture Feature Extraction Based on multi-scale Convolutional Autoencoder by Yi, Huimin, Zhu, Ziqi, Gu, Yangwei

“…Aiming at the difficult problem of dynamic texture feature extraction in complex scenes, this paper proposes a dynamic texture modeling method based on multi-scale convolutional autoencoder…”
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IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks by Sundararajan, Suma Christal Mary, Shankar, Yamini Bhavani, Selvam, Sinthia Panneer, Manogaran, Nalini, Seerangan, Koteeswaran, Natesan, Deepa, Selvarajan, Shitharth

“…The Internet of Things (IoT)-based smart solutions have been developed to predict water quality and they are becoming an increasingly important means of…”
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