Search Results - convolutional autoencoder

Convolutional Autoencoder for Spectral-Spatial Hyperspectral Unmixing by Palsson, Burkni, Ulfarsson, Magnus O., Sveinsson, Johannes R.

“…). In this article, we present a new spectral-spatial linear mixture model and an associated estimation method based on a convolutional neural network autoencoder unmixing (CNNAEU…”
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Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification by Mei, Shaohui, Ji, Jingyu, Geng, Yunhao, Zhang, Zhi, Li, Xu, Du, Qian

“…) convolutional autoencoder (3D-CAE). The proposed 3D-CAE consists of 3D or elementwise operations only, such as 3D convolution, 3D pooling, and 3D batch normalization, to maximally explore spatial-spectral structure information for feature extraction…”
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MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification by Zheng, Qinghe, Zhao, Penghui, Zhang, Deliang, Wang, Hongjun

“…‐based deep convolutional autoencoder (MR‐DCAE) model for unauthorized broadcasting identification…”
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Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders by Martinez-Murcia, Francisco J., Ortiz, Andres, Gorriz, Juan-Manuel, Ramirez, Javier, Castillo-Barnes, Diego

“… In this work, we try a new exploratory data analysis of AD based on deep convolutional autoencoders…”
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CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA–Disease Associations by Xuan, Ping, Sheng, Nan, Zhang, Tiangang, Liu, Yong, Guo, Yahong

“… mechanism and convolutional autoencoder for predicting…”
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Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network by Bedi, Punam, Gole, Pushkar

“… This paper proposes a novel hybrid model based on Convolutional Autoencoder (CAE) network and Convolutional Neural Network (CNN…”
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Non‐intrusive reduced‐order modeling using convolutional autoencoders by Halder, Rakesh, Fidkowski, Krzysztof J., Maki, Kevin J.

“… In this work, we present a non‐intrusive ROM framework for steady‐state parameterized partial differential equations that uses convolutional autoencoders to provide a nonlinear…”
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A Novel One‐Class Convolutional Autoencoder Combined With Excitation–Emission Matrix Fluorescence Spectroscopy for Authenticity Identification of Food by Yan, Xiaoqin, Jia, Baoshuo, Long, Wanjun, Huang, Kun, Wang, Tong, Wu, Hailong, Yu, Ruqin

“…ABSTRACT In this work, a novel one‐class classification algorithm one‐class convolutional autoencoder (OC‐CAE…”
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Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: Comparison with linear subspace techniques by Kadeethum, T., Ballarin, F., Choi, Y., O’Malley, D., Yoon, H., Bouklas, N.

“…, the process of CO2 sequestration). Here, we extend and present a non-intrusive reduced order model of natural convection in porous media employing deep convolutional…”
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MACAE: memory module-assisted convolutional autoencoder for intrusion detection in IoT networks: MACAE: memory module-assisted convolutional autoencoder by Gao, Jiaqi, Fan, Mingrui, He, Yaru, Han, Daoqi, Lu, Yueming, Qiao, Yaojun

“… However, such IDSs may suffer from a high false alarm rate (FAR). This study presents a Memory Module-assisted Convolutional Autoencoder-based (MACAE…”
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A Spectral-Spatial Change Detection Method Based on Simplified 3-D Convolutional Autoencoder for Multitemporal Hyperspectral Images by Zhao, Chunhui, Cheng, Hao, Feng, Shou

“… Therefore, this letter proposes a hyperspectral change detection method based on a simplified 3-D convolutional autoencoder (S3DCAECD…”
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SCAE—Stacked Convolutional Autoencoder for Fault Diagnosis of a Hydraulic Piston Pump with Limited Data Samples by Eraliev, Oybek, Lee, Kwang-Hee, Lee, Chul-Hee

“… In this study, we propose a novel DL model based on a stacked convolutional autoencoder (SCAE) to address the challenge of limited data…”
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Damage-Detection Approach for Bridges with Multi-Vehicle Loads Using Convolutional Autoencoder by Lee, Kanghyeok, Jeong, Seunghoo, Sim, Sung-Han, Shin, Do Hyoung

“… Hence, the authors propose a convolutional-autoencoder (CAE)-based damage-detection approach, which is an unsupervised deep-learning network…”
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Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a “Diagnostic Label-Free” Approach: Application to Schizophrenia Datasets by Yamaguchi, Hiroyuki, Hashimoto, Yuki, Sugihara, Genichi, Miyata, Jun, Murai, Toshiya, Takahashi, Hidehiko, Honda, Manabu, Hishimoto, Akitoyo, Yamashita, Yuichi

“… The purpose of this study was to investigate the efficacy of a 3D convolutional autoencoder (3D-CAE…”
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A scalable digital assets framework for distributed robot system’s anomaly detection based on hybrid convolutional autoencoder by Wang, Shijie, Tao, Jianfeng, Jiang, Qincheng, Chen, Wei, Qin, Chengjin, Xia, Pencheng, Liu, Chengliang

“… The article implements an anomaly detection framework in robot manufacturing area, which are built by hybrid convolutional autoencoder…”
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MAE-CoReNet: Masking Autoencoder-Convolutional Reformer Net by Wang, Di, Wang, Li, Zhou, Yuyang

“… This manuscript suggests a Masking Autoencoder-Convolutional Reformer Net (MAE-CoReNet) to enhance accuracy with less training time…”
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Domain-Adaptive Direction of Arrival (DOA) Estimation in Complex Indoor Environments Based on Convolutional Autoencoder and Transfer Learning by Shen, Lingyu, Li, Jianfeng, Pan, Jingjing, Shi, Junpeng, Xu, Rui, Wang, Hao, Deng, Weiming

“… The approach begins with deep feature extraction using a Convolutional Autoencoder (CAE) and employs a Domain-Adversarial Neural Network (DANN…”
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A Deep Convolutional Autoencoder–Enabled Channel Estimation Method in Intelligent Wireless Communication Systems by Tian, Xinyu

“… In this paper, we propose a deep convolutional autoencoder–based channel estimation method in intelligent wireless communication systems…”
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Sparse convolutional autoencoder‐based fault location for drive circuits in nuclear reactors by Yang, Cheng, Yuan, Yannan, Wang, Fu, Li, Jueying, Li, Ang, Min, Yuan, Zhang, Qiang

“…Drive circuit is a critical part of instrumentation and control systems in nuclear reactors, and its performance directly influences the operation of nuclear…”
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Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder by Bacon, Philippe, Trovato, Agata, Bejger, Michał

“… The denoising convolutional autoencoder neural network is trained on a dataset of simulated astrophysical signals injected into the real…”
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