Results 21 to 30 of about 985,022 (264)
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems [PDF]
Computer Methods in Applied Mechanics and Engineering, 2021 Deep learning has been shown to be an effective tool in solving partial differential equations (PDEs) through physics-informed neural networks (PINNs). PINNs embed the PDE residual into the loss function of the neural network, and have been successfully ...
J. Yu, Lu Lu, Xuhui Meng, G. Karniadakis
semanticscholar +1 more source
Learning inverse folding from millions of predicted structures
bioRxiv, 2022 We consider the problem of predicting a protein sequence from its backbone atom coordinates. Machine learning approaches to this problem to date have been limited by the number of available experimentally determined protein structures.
Chloe Hsu +7 more
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Análisis bibliométrico sobre la protección del inversor
, 2020 Este artículo analiza la evolución y el estado de la investigación sobre la protección del inversor a través de un análisis bibliométrico y una revisión sistemática de la literatura.
Carmen Orden-Cruz, Susana Díaz-Iglesias
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TensoIR: Tensorial Inverse Rendering [PDF]
Computer Vision and Pattern Recognition, 2023 We propose TensoIR, a novel inverse rendering approach based on tensor factorization and neural fields. Unlike previous works that use purely MLP-based neural fields, thus suffering from low capacity and high computation costs, we extend TensoRF, a state-
Haian Jin +8 more
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An introduction to inverse probability of treatment weighting in observational research
Clinical Kidney Journal, 2021 In this article we introduce the concept of inverse probability of treatment weighting (IPTW) and describe how this method can be applied to adjust for measured confounding in observational research, illustrated by a clinical example from nephrology ...
N. Chesnaye +6 more
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Estratégias de Anti-Ilhamento Aplicadas a Sistemas de Geração Distribuída Fotovoltaica
Eletrônica de Potência, 2018 Neste trabalho são avaliados alguns dos principais algoritmos de anti- ilhamento, com modelos em ambiente MatLab/Simulink®, a partir de um inversor fonte de tensão monofásico projetado para injetar potência ativa na rede de distribuição em baixa tensão,
Moacyr A. G. de Brito +3 more
doaj +1 more source
Controle de um Conversor CC-CA para Conexão à Rede com Emulação de Máquina Síncrona
Eletrônica de Potência, 2019 O emprego de conversores estáticos nos sistemas de potência é cada vez maior, suas aplicações em geração de energia elétrica distribuída a partir de fontes solar e eólica são um grande foco de estudo por causa dos desafios técnicos que apresentam.
César A. Palacio R. +2 more
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Dimensionamiento de sistemas fotovoltaicos mediante una interfaz gráfica
Tecnología en Marcha, 2019 Este artículo, muestra la implementación de una interfaz gráfica desarrollada en MATLAB para el dimensionamiento de los principales componentes de un sistema fotovoltaico, sea conectado a la red como autónomo.
Kenneth Vega-Carranza +2 more
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Acuerdo Mercosur-Unión Europea: Sombras y Ausencia de la solución de controversias inversor-Estado
, 2019 espanolEl Acuerdo Mercosur-Union Europea es un hito en un momento de desglobalizacion y fuerte crisis del multilateralismo. Sin embargo, el texto no incluye los tradicionales mecanismos de arbitraje inversorEstado ni el nuevo sistema de tribunales de ...
Magdalena Bas
semanticscholar +1 more source
Deep Convolutional Neural Network for Inverse Problems in Imaging [PDF]
IEEE Transactions on Image Processing, 2016 In this paper, we propose a novel deep convolutional neural network (CNN)-based algorithm for solving ill-posed inverse problems. Regularized iterative algorithms have emerged as the standard approach to ill-posed inverse problems in the past few decades.
Kyong Hwan Jin +3 more
semanticscholar +1 more source