Search Results - Convolutional Autoencoder Model

Intrusion Detection for Blockchain‐Based Internet of Things Using Gaussian Mixture–Fully Convolutional Variational Autoencoder Model by Om Kumar, C. U., Marappan, Suguna, Murugeshan, Bhavadharini, Beaulah, P. Mercy Rajaselvi

“… Thus, the proposed study presents a blockchain‐based deep learning model for IDS…”
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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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Convolutional Autoencoder Model for Finger-Vein Verification by Hou, Borui, Yan, Ruqiang

“…This paper presents a novel deep learning-based method that integrates a Convolutional Auto-Encoder (CAE…”
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Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps by Yan, Xiongfeng, Ai, Tinghua, Yang, Min, Tong, Xiaohua

“… A graph convolutional autoencoder (GCAE) model comprising graph convolution and autoencoder architecture is proposed to analyze…”
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Advancements in Gas Turbine Fault Detection: A Machine Learning Approach Based on the Temporal Convolutional Network–Autoencoder Model by Fahmi, Al-Tekreeti Watban Khalid, Reza Kashyzadeh, Kazem, Ghorbani, Siamak

“… For this purpose, an advanced Temporal Convolutional Network (TCN)–Autoencoder model was presented to detect anomalies in vibration data…”
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Adaptive Two-Stage Multisensor Convolutional Autoencoder Model for Lossy Compression of Hyperspectral Data by Kuester, Jannick, Gross, Wolfgang, Schreiner, Simon, Middelmann, Wolfgang, Heizmann, Michael

“… This work addresses the challenge of transferability of autoencoder (AE) models for lossy compression of spatially independent and unknown hyperspectral datasets acquired from different sensor platforms…”
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Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression by Shoeibi, Afshin, Ghassemi, Navid, Khodatars, Marjane, Moridian, Parisa, Khosravi, Abbas, Zare, Assef, Gorriz, Juan M., Chale-Chale, Amir Hossein, Khadem, Ali, Rajendra Acharya, U.

“… The FMRIB software library toolbox first performed preprocessing on rs-fMRI data. Then, a convolutional Autoencoder model with the proposed number of layers is used to extract features from rs…”
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Self‐Attention‐Based Deep Convolutional Sparse Dense Autoencoder Model With Chebyshev‐Based Osprey Algorithm for Cardiovascular Disease Detection by Divya, N. J., Kumar, N. Suresh, Devi, R. Kanniga

“… This paper presents a deep convolutional neural network (CNN) for categorizing five CVDs using conventional 12‐lead ECG data…”
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Anomaly Detection Based on Graph Convolutional Network–Variational Autoencoder Model Using Time-Series Vibration and Current Data by Choi, Seung-Hwan, An, Dawn, Lee, Inho, Lee, Suwoong

“… robots and machine systems. Unlike traditional classification models that depend on labeled fault data for detection, acquiring sufficient fault data in real industrial environments is highly challenging due to various conditions and constraints…”
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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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An Elliptic Kernel Unsupervised Autoencoder-Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing by Alfaro-Mejia, Estefania, Delgado, Carlos J., Manian, Vidya

“… This article introduces the autoencoder graph ensemble model (AEGEM), a novel ensemble-based framework designed to enhance performance in both endmember extraction and abundance estimation…”
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Comparative Study on Three Autoencoder‐Based Deep Learning Algorithms for Geochemical Anomaly Identification by Feng, Bin, Chen, Lirong, Xu, Yongyang, Zhang, Yu

“…‐Ag metallogenic area in southwest Fujian province as samples. Three unsupervised deep learning models: the autoencoder (AE), multi…”
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An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering by Dai, Dan, Tang, Juan, Yu, Zhiwen, Wong, Hau-San, You, Jane, Cao, Wenming, Hu, Yang, Chen, C. L. Philip

“… To address these issues, we propose an inception convolutional autoencoder model for Chinese healthcare question clustering (ICAHC…”
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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Wu, Kecong, Chen, Lirong, Bai, Yalige, Wang, Xinhang, Pingcuo, Danzeng, Han, Zhongpeng, Wang, Chengshan

“… This model uses high-resolution remote sensing imagery and employs a convolutional autoencoder to extract common features from river channels…”
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A noise-reduction method for UUV communication using a stack-type convolutional autoencoder model of image features by Tao, Weiliang, Liu, Yan, Zhang, Yu, Zhang, Dan

“…) models are unsuitable for abrupt-varying noise environments. To address the problem, this study proposes a deep learning (DL…”
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Hyperspecral Unmixing Based on Multilinear Mixing Model Using Convolutional Autoencoders by Fang, Tingting, Zhu, Fei, Chen, Jie

“… Beyond the linear assumption, various nonlinear unmixing models have been proposed, with the associated optimization problems solved either by traditional optimization algorithms or deep learning techniques…”
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A graph convolutional autoencoder approach to model order reduction for parametrized PDEs by 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…”
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Convolutional autoencoder based model HistoCAE for segmentation of viable tumor regions in liver whole-slide images by Roy, Mousumi, Kong, Jun, Kashyap, Satyananda, Pastore, Vito Paolo, Wang, Fusheng, Wong, Ken C. L., Mukherjee, Vandana

“… In this paper, we present a multi-resolution deep learning model HistoCAE for viable tumor segmentation in whole-slide liver histopathology images…”
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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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XBarNet: Computationally Efficient Memristor Crossbar Model Using Convolutional Autoencoder by Zhang, Yuhang, He, Guanghui, Wang, Guoxing, Li, Yongfu

“…The design and verification of memristor crossbar circuits and systems demand computationally efficient models…”
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