Search Results - Beta-convolutional variational autoencoder*

History matching of a three dimensional channelized reservoir using a beta-convolutional variational autoencoder and ensemble smoother with multiple data assimilation by Ahn, Youngbin, Choe, Jonggeun, Min, Baehyun

“… The study's scheme was divided into three stages. First, a beta-convolutional variational autoencoder network was trained using rock facies of reservoir models…”
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Fault Diagnosis of Machines Using Deep Convolutional Beta-Variational Autoencoder by Dewangan, Gaurav, Maurya, Seetaram

“… In this article, a novel intelligent fault diagnosis scheme based on deep convolutional variable-beta variational autoencoder (VAE…”
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Investigating Beta-Variational Convolutional Autoencoders for the Unsupervised Classification of Chest Pneumonia by Akila, Serag Mohamed, Imanov, Elbrus, Almezhghwi, Khaled

“…The world’s population is increasing and so is the challenge on existing healthcare infrastructure to cope with the growing demand in medical diagnosis and…”
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A deep-learning search for technosignatures from 820 nearby stars by Ma, Peter Xiangyuan, Ng, Cherry, Rizk, Leandro, Croft, Steve, Siemion, Andrew P. V, Brzycki, Bryan, Czech, Daniel, Drew, Jamie, Gajjar, Vishal, Hoang, John, Isaacson, Howard, Lebofsky, Matt, MacMahon, David H. E, de Pater, Imke, Price, Danny C, Sheikh, Sofia Z, Worden, S. Pete

“… We implement a novel β-convolutional variational autoencoder to identify technosignature candidates in a semi-unsupervised manner while keeping…”
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A deep-learning search for technosignatures of 820 nearby stars by Xiangyuan, Peter, Ng, Cherry, Rizk, Leandro, Croft, Steve, Siemion, Andrew P V, Brzycki, Bryan, Czech, Daniel, Drew, Jamie, Gajjar, Vishal, Hoang, John, Isaacson, Howard, Lebofsky, Matt, MacMahon, David, de Pater, Imke, Price, Danny C, Sheikh, Sofia Z, Worden, S Pete

“… We implement a novel beta-Convolutional Variational Autoencoder to identify…”
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Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows by Eivazi, Hamidreza, Le Clainche, Soledad, Hoyas, Sergio, Vinuesa, Ricardo

“…-order modeling and flow control. Our approach is based on β-variational autoencoders (β-VAEs) and convolutional neural networks…”
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An efficient plasma-surface interaction surrogate model for sputtering processes based on autoencoder neural networks by Gergs, Tobias, Borislavov, Borislav, Trieschmann, Jan

“…Simulations of thin film sputter deposition require the separation of the plasma and material transport in the gas-phase from the growth/sputtering processes…”
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Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows by Eivazi, Hamidreza, Soledad Le Clainche, Hoyas, Sergio, Vinuesa, Ricardo

“…, reduced-order modeling, and flow control. Our approach is based on \(\beta\)-variational autoencoders (\(\beta\)-VAEs…”
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Graph-Convolutional-Beta-VAE for synthetic abdominal aortic aneurysm generation by Fabbri, Francesco, Scarpolini, Martino Andrea, Iollo, Angelo, Viola, Francesco, Tudisco, Francesco

“… This study presents a Graph Convolutional Neural Network combined with a Beta-Variational Autoencoder (GCN-β-VAE…”
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AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders by Glushkovsky, Alex

“… Latent space representation has been performed using a convolutional beta variational autoencoder (beta-VAE…”
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Deciphering the Coevolutionary Dynamics of L2 β-Lactamases via Deep Learning by Zhu, Yu, Gu, Jing, Zhao, Zhuoran, Chan, A W Edith, Mojica, Maria F, Hujer, Andrea M, Bonomo, Robert A, Haider, Shozeb

“… (convolutional variational autoencoders and BindSiteS-CNN) explored conformational changes and correlations within the L2 β…”
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Evolutionary Dynamics and Functional Differences in Clinically Relevant Pen β-Lactamases from Burkholderia spp by Gu, Jing, Agarwal, Pratul K, Bonomo, Robert A, Haider, Shozeb

“…), convolutional variational autoencoder-based deep learning (CVAE) and the BindSiteS-CNN model. In spite of sharing the same catalytic mechanisms, these enzymes exhibit…”
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A 3D lung lesion variational autoencoder by Li, Yiheng, Sadée, Christoph Y., Carrillo-Perez, Francisco, Selby, Heather M., Thieme, Alexander H., Gevaert, Olivier

“…In this study, we develop a 3D beta variational autoencoder (beta-VAE) to advance lung cancer imaging analysis, countering the constraints of conventional radiomics methods…”
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