Suchergebnisse - "Deep convolutional autoencoder"

MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification von Zheng, Qinghe, Zhao, Penghui, Zhang, Deliang, Wang, Hongjun

“… ‐based deep convolutional autoencoder (MR‐DCAE) model for unauthorized broadcasting identification …”
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Segmentation of digital rock images using deep convolutional autoencoder networks von Karimpouli, Sadegh, Tahmasebi, Pejman

“… Segmentation is a critical step in Digital Rock Physics (DRP) as the original images are available in a gray-scale format. Conventional methods often use …”
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Modeling Task fMRI Data Via Deep Convolutional Autoencoder von Huang, Heng, Hu, Xintao, Zhao, Yu, Makkie, Milad, Dong, Qinglin, Zhao, Shijie, Guo, Lei, Liu, Tianming

“… Task-based functional magnetic resonance imaging (tfMRI) has been widely used to study functional brain networks under task performance. Modeling tfMRI data is …”
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Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities von Seyfioglu, Mehmet Saygin, Ozbayoglu, Ahmet Murat, Gurbuz, Sevgi Zubeyde

“… Moreover, a three-layer, deep convolutional autoencoder (CAE) is proposed, which utilizes unsupervised pretraining to initialize the weights in the subsequent convolutional layers …”
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Hyperspectral unmixing using deep convolutional autoencoder von Elkholy, Menna M., Mostafa, Marwa, Ebied, Hala M., Tolba, Mohamed F.

“… In this paper, we address the linear unmixing problem with an unsupervised Deep Convolutional Autoencoder network (DCAE …”
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Deep convolutional autoencoder thermography for artwork defect detection von Liu, Yi, Wang, Fumin, Liu, Kaixin, Mostacci, Miranda, Yao, Yuan, Sfarra, Stefano

“… However, in-depth studies on the internal structure of contemporary artworks using infrared thermography remain lacking, and therefore, a deep convolutional autoencoder thermography (DCAT …”
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Seismic random noise suppression using deep convolutional autoencoder neural network von Song, Hui, Gao, Yang, Chen, Wei, Xue, Ya-juan, Zhang, Hua, Zhang, Xiang

“… Contaminated seismic data seriously affect subsequent seismic data processing and imaging. In this paper, we propose a deep convolutional autoencoder neural network for denoising, which consists of encoding and decoding frameworks …”
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Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder von Liu, Mingliang, Grana, Dario

“… •The deep convolutional autoencoder is used to reduce the seismic data with big size to avoid ensemble collapse …”
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One-dimensional deep convolutional autoencoder active infrared thermography: Enhanced visualization of internal defects in FRP composites von Zhang, Yubin, Xu, Changhang, Liu, Pengqian, Xie, Jing, Han, Yage, Liu, Rui, Chen, Lina

“… To address this issue, this study proposes a novel method called one-dimensional deep convolutional autoencoder active infrared thermography (1D-DCAE-AIRT …”
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Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms von Kensert, Alexander, Collaerts, Gilles, Efthymiadis, Kyriakos, Van Broeck, Peter, Desmet, Gert, Cabooter, Deirdre

“… •Autoencoder (AEC) for the simultaneous removal of baseline noise and baseline drift.•Autoencoder trained and tested on simulated chromatograms.•Autoencoder …”
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Carp-DCAE: Deep convolutional autoencoder for carp fish classification von Banerjee, Arnab, Das, Arijit, Behra, Samarendra, Bhattacharjee, Debotosh, Srinivasan, Nagesh Talagunda, Nasipuri, Mita, Das, Nibaran

“… •The latent features of Simple (SAE), Deep (DAE), and Convolutional deep (DCAE) autoencoder models are extracted and utilised to identify the major carp …”
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A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity von Hossain, Md-Billal, Posada-Quintero, Hugo F., Chon, Ki H.

“… ) removal technique from electrodermal activity (EDA) signal. Methods: we proposed a deep convolutional autoencoder (DCAE …”
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A Deep Convolutional Autoencoder–Enabled Channel Estimation Method in Intelligent Wireless Communication Systems von Tian, Xinyu

“… In this paper, we propose a deep convolutional autoencoder–based channel estimation method in intelligent wireless communication systems …”
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Deep convolutional autoencoder augmented CFD thermal analysis of bearings with inter pad groove mixing von Yang, Jongin, Palazzolo, Alan

“… •Bearing groove model via a deep convolutional autoencoder training based on CFD data …”
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Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography von Sadrawi, Muammar, Lin, Yin-Tsong, Lin, Chien-Hung, Mathunjwa, Bhekumuzi, Fan, Shou-Zen, Abbod, Maysam F., Shieh, Jiann-Shing

“… This study investigates the ability of a deep convolutional autoencoder (DCAE) to generate continuous arterial blood pressure (ABP …”
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Deep convolutional autoencoder for urban land use classification using mobile device data von Sun, Zhihao, Peng, Zhenghong, Yu, Yang, Jiao, Hongzan

“… Considering the high dimensional characteristic of mobile-phone-call time series data, an improved land-use classification framework with deep convolutional autoencoder (DCAE …”
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Intelligent framework for unsupervised damage detection in bridges using deep convolutional autoencoder with wavelet transmissibility pattern spectra von Li, Shuai, Cao, Yuxi, Gdoutos, Emmanuel E., Tao, Mei, Faisal Alkayem, Nizar, Avci, Onur, Cao, Maosen

“… Deep Learning has been increasingly utilized in structural damage detection. Existing relevant studies often highlight the benefits of supervised deep learning …”
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Unsupervised Learning for Machinery Adaptive Fault Detection Using Wide-Deep Convolutional Autoencoder with Kernelized Attention Mechanism von Yan, Hao, Si, Xiangfeng, Liang, Jianqiang, Duan, Jian, Shi, Tielin

“… Applying deep learning to unsupervised bearing fault diagnosis in complex industrial environments is challenging. Traditional fault detection methods rely on …”
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Interference Suppression for an FM-Radio-Based Passive Radar via Deep Convolutional Autoencoder von Park, Do-Hyun, Park, Geun-Ho, Park, Ji-Hun, Bang, Jong-Hyeon, Kim, Doohwan, Kim, Hyoung-Nam

“… Recently, the passive bistatic radar (PBR) that exploits frequency modulation (FM) radio transmitters as illuminators, has witnessed widespread usage owing to …”
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Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder von Rastin, Zahra, Ghodrati Amiri, Gholamreza, Darvishan, Ehsan

“… Structural health monitoring (SHM) is a hot research topic with the main purpose of damage detection in a structure and assessing its health state. The major …”
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