Search Results - Encoder–decoder neural network

Parameter estimation for WMTI‐Watson model of white matter using encoder–decoder recurrent neural network by Diao, Yujian, Jelescu, Ileana

“… In this study, a novel fitting approach was proposed based on the encoder–decoder recurrent neural network (RNN…”
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Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network by Chen, Hu, Zhang, Yi, Kalra, Mannudeep K., Lin, Feng, Chen, Yang, Liao, Peixi, Zhou, Jiliu, Wang, Ge

“… while keeping structural details. Inspired by the idea of deep learning, here we combine the autoencoder, deconvolution network, and shortcut connections into the residual encoder-decoder convolutional neural network (RED-CNN…”
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A Multimodal Encoder–Decoder Neural Network for Forecasting Solar Wind Speed at L1 by Dhuri, Dattaraj B., Hanasoge, Shravan M., Joon, Harsh, SM, Gopika, Das, Dipankar, Kaul, Bharat

“… This work presents an encoder–decoder neural network framework for simultaneously forecasting the daily averaged solar wind speed for the subsequent 4 days. The encoder…”
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Multi-domain encoder–decoder neural networks for latent data assimilation in dynamical systems by Cheng, Sibo, Zhuang, Yilin, Kahouadji, Lyes, Liu, Che, Chen, Jianhua, Matar, Omar K., Arcucci, Rossella

“… To address these challenges, this paper introduces a novel deep-learning-based data assimilation scheme, named Multi-domain Encoder…”
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Anomaly Detection and Segmentation for Wafer Defect Patterns Using Deep Convolutional Encoder-Decoder Neural Network Architectures in Semiconductor Manufacturing by Nakazawa, Takeshi, Kulkarni, Deepak V.

“… We present a method for detecting and segmenting abnormal wafer map defect patterns using deep convolutional encoder-decoder neural network architectures…”
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Deep Cascade Residual Networks (DCRNs): Optimizing an Encoder-Decoder Convolutional Neural Network for Low-Dose CT Imaging by Huang, Zhenxing, Chen, Zixiang, Quan, Guotao, Du, Yanfeng, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli

“…)-based image restoration methods have been proposed over the past few years. Many of these popular DL-based methods adopt an encoder-decoder framework, for instance, the residual encoder-decoder convolutional neural network…”
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A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems by Rahman, Md Mijanur, Uzzaman, Ashik, Sami, Sadia Islam, Khatun, Fatema, Bhuiyan, Md Al‐Amin

“…This study introduces a novel encoder–decoder framework based on deep neural networks and provides a thorough investigation into the field of automatic picture captioning systems…”
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Effective encoder-decoder neural network for segmentation of orbital tissue in computed tomography images of Graves’ orbitopathy patients by Lee, Seung Hyeun, Lee, Sanghyuck, Lee, Jaesung, Lee, Jeong Kyu, Moon, Nam Ju

“…To propose a neural network (NN) that can effectively segment orbital tissue in computed tomography (CT…”
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Encoder–decoder neural networks in interpretation of X-ray spectra by Passilahti, Jalmari, Vladyka, Anton, Niskanen, Johannes

“…Encoder–decoder neural networks (EDNN) condense information most relevant to the output of the feedforward network to activation values at a bottleneck layer…”
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Quantum recurrent encoder–decoder neural network for performance trend prediction of rotating machinery by Chen, Yong, Li, Feng, Wang, Jiaxu, Tang, Baoping, Zhou, Xueming

“…). In view of this, a novel neural network called quantum recurrent encoder–decoder neural network (QREDNN…”
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Noise reduction in X-ray photon correlation spectroscopy with convolutional neural networks encoder–decoder models by Konstantinova, Tatiana, Wiegart, Lutz, Rakitin, Maksim, DeGennaro, Anthony M., Barbour, Andi M.

“… We propose a computational approach for improving the signal-to-noise ratio in two-time correlation functions that is based on convolutional neural network encoder–decoder (CNN-ED) models…”
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Attention-Aware Encoder-Decoder Neural Networks for Heterogeneous Graphs of Things by Li, Yangfan, Chen, Cen, Duan, Mingxing, Zeng, Zeng, Li, Kenli

“… To address this issue, we develop attention-aware encoder-decoder graph neural networks for HGoT, termed as HGAED…”
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Automatic segmentation of intracerebral hemorrhage in CT images using encoder–decoder convolutional neural network by Hu, Kai, Chen, Kai, He, Xizhi, Zhang, Yuan, Chen, Zhineng, Li, Xuanya, Gao, Xieping

“…•We develop an encoder-decoder convolutional neural network (ED-Net).•We introduce a synthetic loss function to overcome the data imbalanced problem…”
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The local ternary pattern encoder–decoder neural network for dental image segmentation by Salih, Omran, Duffy, Kevin Jan

“… However, the performance of the deep networks used for these analyses are restrained by various challenging features found in dental carious lesions…”
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Encoder–decoder neural network for solving the nonlinear Fokker–Planck–Landau collision operator in XGC by Miller, M. A., Churchill, R. M., Dener, A., Chang, C. S., Munson, T., Hager, R.

“…An encoder–decoder neural network has been used to examine the possibility for acceleration of a partial integro-differential equation, the Fokker–Planck…”
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The application of encoder–decoder neural networks in high accuracy and efficiency slit-scan emittance measurements by Ma, S., Arnold, A., Michel, P., Murcek, P., Ryzhov, A., Schaber, J., Steinbrück, R., Evtushenko, P., Teichert, J., Hillert, W., Xiang, R., Zhu, J.

“… s. The convolution neural networks are applied to improve the efficiency and accuracy of beamlet images processing…”
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MVCT image enhancement using reference-based encoder–decoder convolutional neural network by Jin, Shuang, Xu, Xiaotong, Su, Zhe, Tang, Long, Zheng, Mengxun, Liang, Peiwen, Zhang, Hua

“…–decoder convolutional neural network (RefED-CNN) by incorporating a feature extraction and alignment (FEA…”
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End-to-end trained encoder-decoder convolutional neural network for fetal electrocardiogram signal denoising by Fotiadou, Eleni, Konopczyński, Tomasz, Hesser, Jürgen, Vullings, Rik

“… We propose a deep fully convolutional encoder-decoder framework, learning end-to-end mappings from noise-contaminated fetal ECGs to clean ones…”
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Seismic Stratum Segmentation Using an Encoder–Decoder Convolutional Neural Network by Wang, Detao, Chen, Guoxiong

“… and more sophisticated way to better image subsurface reservoirs/structures. In this paper, a specific U-shaped fully convolutional network (U-Net…”
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An encoder–decoder deep neural network for binary segmentation of seismic facies by Lima, Gefersom, Zeiser, Felipe André, da Silveira, Ariane, Rigo, Sandro, de Oliveira Ramos, Gabriel

“… This work investigates the application of neural networks to identify lines that separate seismic facies geometry…”
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