Search Results - "Multi-scale convolutional autoencoder"

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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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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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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An optimized multi-scale convolutional autoencoder for efficient abnormal event detection using rgb, depth and optical flow data by Alqahtani, Abdullah

“…In this study, we propose a novel framework for detecting abnormal events in surveillance videos, a critical yet challenging task in security applications…”
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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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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

“…In recent years, data-driven deep learning models have gained significant importance in the analysis of turbulent dynamical systems. Within the context of…”
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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

“…•An improved CAE algorithm is introduced, which integrates frequency spectral sequences into the output reconstruction phase. This innovative approach allows…”
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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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Anomaly detection for real-world electric vehicle charging data using a convolutional autoencoder with multiscale convolution, attention mechanism, and BiLSTM by Liu, Zhibin, Li, Lei, Ding, Xiaoyin, Wang, Xia, Liu, Zhiheng, Wang, Yawen, Hu, Changpeng

“… The model builds upon the traditional CoAE by integrating a multi-scale convolutional autoencoder (MCoAE…”
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A limited annotated sample fault diagnosis algorithm based on nonlinear coupling self-attention mechanism by Luo, Shuyang, Zhang, Dong, Wu, Jinhong, Wang, Yanzhi, Zhou, Qi, Hu, Jiexiang

“…;•A novel reconstruction method and multi-scale convolutional autoencoder is adopted to extract crucial information…”
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Land Use and Land Cover Classification using River Formation Dynamics Algorithm with Deep Learning on Remote Sensing Images by Aljebreen, Mohammed, Mengash, Hanan Abdullah, Alamgeer, Mohammad, Alotaibi, Saud S., Salama, Ahmed S., Hamza, Manar Ahmed

“…Currently, remote sensing images (RSIs) are often exploited in the explanation of urban and rural areas, change recognition, and other domains. As the majority…”
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