Výsledky vyhledávání - "Convolutional autoencoder"

Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: Comparison with linear subspace techniques Autor Kadeethum, T., Ballarin, F., Choi, Y., O’Malley, D., Yoon, H., Bouklas, N.

“…Natural convection in porous media is a highly nonlinear multiphysical problem relevant to many engineering applications (e.g., the process of CO2…”
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A graph convolutional autoencoder approach to model order reduction for parametrized PDEs Autor Pichi, Federico, Moya, Beatriz, Hesthaven, Jan S.

“…The present work proposes a framework for nonlinear model order reduction based on a Graph Convolutional Autoencoder (GCA-ROM). In the reduced order modeling…”
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Surface defect classification of steels with a new semi-supervised learning method Autor Di, He, Ke, Xu, Peng, Zhou, Dongdong, Zhou

“…•A semi-supervised learning method named CAE-SGAN is proposed to classify surface defects of steels.•CAE-SGAN improves the performance of SGAN with limited…”
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Anomaly detection of defects on concrete structures with the convolutional autoencoder Autor Chow, J.K., Su, Z., Wu, J., Tan, P.S., Mao, X., Wang, Y.H.

“…•Deep learning model is applied for the anomaly detection of concrete defects.•The model training is in the unsupervised mode, with no label needed.•This…”
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From Clutter to Clarity: Enhancing Radar-Based Human Activity Recognition with Deep Attention and Feature Denoising Autor Wang, Huaijun, Li, Shuang, Bai, Bingqian, Li, Junhuai, Fei, Rong, Huang, Tao

“…Millimeter-wave radar offers advantages such as insensitivity to lighting conditions, strong environmental adaptability, non-contact sensing, and inherent…”
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Vessel Trajectory Anomaly Detection Based on Multi-scale Convolutional Autoencoder Autor Qi, Yuhao, Yang, Jiaxuan, Xu, Dongsheng, Shao, Ran, Duan, Yangyang, Wang, Yangjie

“…Traditional methods for detecting anomalies in vessel trajectories do not adequately account for the multidimensional characteristics of vessel behavior, and…”
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Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises Autor Yan, Shen, Shao, Haidong, Xiao, Yiming, Liu, Bin, Wan, Jiafu

“…•A new FDD loss function to suppress the noises is designed.•Construct the PCDF module to enhance the robustness of the network.•The unsupervised anomaly…”
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Rearranged soft-introspective orthogonality regularized convolutional autoencoder for fault detection of multivariate processes Autor Wang, Chenmao, Lu, Zhiqiang, Yu, Jianbo

“…Modern industrial processes are developing towards scale and complexity, which poses high requirements for process monitoring. Autoencoder (AE) has gained…”
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Convolutional Autoencoder-Based Multispectral Image Fusion Autor Azarang, Arian, Manoochehri, Hafez E., Kehtarnavaz, Nasser

“…This paper presents a deep learning-based pansharpening method for fusion of panchromatic and multispectral images in remote sensing applications. This method…”
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MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification Autor Zheng, Qinghe, Zhao, Penghui, Zhang, Deliang, Wang, Hongjun

“…Nowadays, radio broadcasting plays an important role in people's daily life. However, unauthorized broadcasting stations may seriously interfere with normal…”
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Auto-AD: Autonomous Hyperspectral Anomaly Detection Network Based on Fully Convolutional Autoencoder Autor Wang, Shaoyu, Wang, Xinyu, Zhang, Liangpei, Zhong, Yanfei

“…Hyperspectral anomaly detection is aimed at detecting observations that differ from their surroundings, and is an active area of research in hyperspectral…”
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State of health estimation of lithium-ion battery with automatic feature extraction and self-attention learning mechanism Autor Jiang, Yiyue, Chen, Yuan, Yang, Fangfang, Peng, Weiwen

“…Accurate state of health (SOH) estimation is significantly important to ensure the safe and reliable operation of lithium-ion battery. Most existing…”
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Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images Autor Wu, Yue, Li, Jiaheng, Yuan, Yongzhe, Qin, A. K., Miao, Qi-Guang, Gong, Mao-Guo

“…Change detection based on heterogeneous images, such as optical images and synthetic aperture radar images, is a challenging problem because of their huge…”
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Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data Autor Li, Yanting, Jiang, Wenbo, Zhang, Guangyao, Shu, Lianjie

“…Condition monitoring and fault diagnosis for wind turbines can effectively reduce the impact of failures. However, many wind turbines cannot establish fault…”
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CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction Autor Jana, Debasish, Patil, Jayant, Herkal, Sudheendra, Nagarajaiah, Satish, Duenas-Osorio, Leonardo

“…Increasing advances in sensing technologies and analytics have led to the proliferation of sensors to monitor structural and infrastructural systems. Accurate…”
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Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals Autor Zhang, Yuxin, Chen, Yiqiang, Wang, Jindong, Pan, Zhiwen

“…Nowadays, multi-sensor technologies are applied in many fields, e.g., Health Care (HC), Human Activity Recognition (HAR), and Industrial Control System (ICS)…”
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Unsupervised VSP up- and downgoing wavefield separation via dual convolutional autoencoders Autor Lu, Cai, Mu, Zuochen, Zong, Jingjing, Wang, Tengyu

“…Vertical seismic profiling (VSP) is widely applied in the field of seismic exploration to deliver high-quality subsurface images and enable quantitative…”
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Finding Ground-based Radars in SAR images: Localizing Radio Frequency Interference using Unsupervised Deep Learning Autor Sorensen, Kristian Aa, Kusk, Anders, Heiselberg, Peder, Heiselberg, Henning

“…Synthetic Aperture Radar (SAR) satellite images are used increasingly more for Earth observation. While SAR images are useable in most conditions, they…”
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From data to dynamics: Reconstructing soliton collision phenomena in optical fibers using a convolutional autoencoder Autor Xu, Qibo, Rong, Jifang, Zeng, Qilin, Yuan, Xiaofang, Huang, Longnv, Yang, Hua

“…In this study, a convolutional autoencoder is constructed to extract and reconstruct the dynamical processes of soliton collisions in optical fibers. The model…”
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Convolutional Graph Thermography for Subsurface Defect Detection in Polymer Composites Autor Liu, Kaixin, Yu, Qing, Liu, Yi, Yang, Jianguo, Yao, Yuan

“…Infrared thermography for quality assessment of polymer composites has gained increasing attention with the development of various thermographic data analysis…”
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