Výsledky vyhľadávania - "Encoder-Decoder Neural Network"

Encoder–decoder neural network for solving the nonlinear Fokker–Planck–Landau collision operator in XGC Autor 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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Encoder-Decoder Neural Network with Attention Mechanism for Types Detection in Linked Data Autor Hamel, Oussama, Fareh, Messaouda

“… In this paper, we propose an approach based on Deep Learning techniques, using an encoder-decoder model with attention mechanism, embedding layer to extract the features of each subject from the RDF…”
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Encoder-decoder neural network for solving the nonlinear Fokker-Planck-Landau collision operator in XGC Autor 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-Landau collision operator…”
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Deep Convolutional Symmetric Encoder—Decoder Neural Networks to Predict Students’ Visual Attention Autor Hachaj, Tomasz, Stolińska, Anna, Andrzejewska, Magdalena, Czerski, Piotr

“…Prediction of visual attention is a new and challenging subject, and to the best of our knowledge, there are not many pieces of research devoted to the anticipation of students…”
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MEDnet, a neural network for automated detection of avascular area in OCT angiography Autor Guo, Yukun, Camino, Acner, Wang, Jie, Huang, David, Hwang, Thomas S., Jia, Yali

“… The network design consists of a multi-scaled encoder-decoder neural network (MEDnet) to detect the non-perfusion area in 6…”
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Deep residual inception encoder‐decoder network for amyloid PET harmonization Autor Shah, Jay, Gao, Fei, Li, Baoxin, Ghisays, Valentina, Luo, Ji, Chen, Yinghua, Lee, Wendy, Zhou, Yuxiang, Benzinger, Tammie L.S., Reiman, Eric M., Chen, Kewei, Su, Yi, Wu, Teresa

“…‐Decoder Neural Network was developed to harmonize images between amyloid PET image pairs made with Pittsburgh Compound…”
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End-to-End Speech Translation With Transcoding by Multi-Task Learning for Distant Language Pairs Autor Kano, Takatomo, Sakti, Sakriani, Nakamura, Satoshi

“… The current state-of-the-art models for ASR, MT, and TTS have mainly been built using deep neural networks, in particular, an attention-based encoder-decoder neural network with an attention mechanism…”
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Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection Autor Corkery, Maria, Matusevych, Yevgen, Goldwater, Sharon

“…The cognitive mechanisms needed to account for the English past tense have long been a subject of debate in linguistics and cognitive science…”
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Contactless Blood Pressure Monitoring with mmWave Radar Autor Ran, You, Zhang, Dongheng, Chen, Jinbo, Hu, Yang, Chen, Yan

“… Finally, we design an encoder-decoder neural network to derive the blood pressure information from the extracted signal…”
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Segmentation of parasternal long axis views using deep learning Autor Smistad, Erik, Dalen, Havard, Grenne, Bjornar, Lovstakken, Lasse

“…) and left ventricular outflow tract (LVOT) were annotated in images from 53 subjects and used for training a fully-convolutional encoder-decoder neural network…”
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Towards Optimized IoT-based Context-aware Video Content Analysis Framework Autor Gad, Gad, Gad, Eyad, Mokhtar, Bassem

“… This framework encorporates an encoder-decoder neural network trained on a closed-domain video-to-text dataset…”
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Decoding the Brain in Complex Auditory Environments Autor Rezaeizadeh, Mohsen

“…Humans have an exceptional ability to engage with sequences of sounds and extract meaningful information from them. We can appreciate music or absorb speech…”
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Expression Removal in 3D Faces for Recognition Purposes Autor Amparo Barbosa, Lucas, Dahia, Gabriel, Pamplona Segundo, Mauricio

“…We present an encoder-decoder neural network to remove deformations caused by expressions from 3D face images…”
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FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures Autor Getahun, Melaku N, Rogov, Oleg Y, Dylov, Dmitry V, Somov, Andrey, Bouridane, Ahmed, Hamoudi, Rifat

“… To reduce this retinal vessel segmentation problem, we propose a full-scale micro-vessel extraction mechanism based on an encoder-decoder neural network architecture, sigmoid smoothing, and an adaptive threshold method…”
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Quantitative Susceptibility Inversion Through Parcellated Multiresolution Neural Networks and K-Space Substitution Autor Liu, Juan, Nencka, Andrew S, Muftuler, L Tugan, Swearingen, Brad, Karr, Robin, Koch, Kevin M

“… To overcome these limitations, a deep-learning-based approach is proposed and demonstrated. Methods: An encoder-decoder neural network was trained to infer susceptibility maps on volume parcellated regions…”
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Punny Captions: Witty Wordplay in Image Descriptions Autor Chandrasekaran, Arjun, Parikh, Devi, Bansal, Mohit

“… We develop two approaches which involve retrieving witty descriptions for a given image from a large corpus of sentences, or generating them via an encoder-decoder neural network architecture…”
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AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery Autor Hosseini, Mahboube Sadat, Aghamiri, Seyed Mahmoud Reza, Fatemi Ardekani, Ali, BagheriMofidi, Seyed Mehdi, Safari, Mojtaba

“… AutoCorNN integrates two 2D convolutional encoder-decoder neural networks with the forward physical model of MRI signal generation to predict undistorted MR and field map images from distorted MR input…”
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Modeling the Shape of the Brain Connectome via Deep Neural Networks Autor Dai, Haocheng, Bauer, Martin, Fletcher, P Thomas, Joshi, Sarang

“…The goal of diffusion-weighted magnetic resonance imaging (DWI) is to infer the structural connectivity of an individual subject's brain in vivo…”
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