A 3D physical model to study the behavior of vegetation fires at laboratory scale
Sign Up to like & getrecommendations! Published in 2018 at "Fire Safety Journal"
DOI: 10.1016/j.firesaf.2018.08.011
Abstract: A 3D multi-physical model referred to as “FireStar3D” has been developed in order to predict the behavior of wildfires at a local scale ( read more here.
Keywords: study behavior; model study; vegetation; physical model ... See more keywords
Physical model of onboard hydrogen storage tank thermal behaviour during fuelling
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2018.12.115
Abstract: Abstract A physical model to simulate thermal behaviour of an onboard storage tank and parameters of hydrogen inside the tank during fuelling is described. The energy conservation equation, Abel-Noble real gas equation of state, and… read more here.
Keywords: tank; hydrogen; storage; physical model ... See more keywords
4D-resolved physical model for Electrochemical Impedance Spectroscopy of Li(Ni1-x-yMnxCoy)O2-based cathodes in symmetric cells: Consequences in tortuosity calculations
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Power Sources"
DOI: 10.1016/j.jpowsour.2020.227871
Abstract: Abstract Electrochemical impedance spectroscopy (EIS) constitutes an experimental technique used for the characterization of Lithium Ion Battery (LIB) porous electrodes tortuosities. For the first time, a 4D (3D in space + time) physical model is proposed to… read more here.
Keywords: based cathodes; physical model; electrochemical impedance; spectroscopy ... See more keywords
Inverse uncertainty quantification of TRACE physical model parameters using sparse gird stochastic collocation surrogate model
Sign Up to like & getrecommendations! Published in 2017 at "Nuclear Engineering and Design"
DOI: 10.1016/j.nucengdes.2017.05.011
Abstract: Abstract Within the BEPU (Best Estimate plus Uncertainty) methodology uncertainties must be quantified in order to prove that the investigated design remains within acceptance criteria. For best-estimate system thermal-hydraulics codes like TRACE and RELAP5, significant… read more here.
Keywords: model parameters; uncertainty; trace physical; physical model ... See more keywords
A physical model study of shale seismic responses and anisotropic inversion
Sign Up to like & getrecommendations! Published in 2021 at "Petroleum Science"
DOI: 10.1016/j.petsci.2021.01.001
Abstract: Abstract The seismic responses of the shale properties are critical for shale gas reservoir evaluation and production. It has been widely reported that the clay minerals have substantial influences on the seismic wave anisotropy and… read more here.
Keywords: inversion; seismic responses; study; physical model ... See more keywords
Mathematical modeling and numerical simulation of surfactant delivery within a physical model of the neonatal trachea for different aerosol characteristics
Sign Up to like & getrecommendations! Published in 2017 at "Aerosol Science and Technology"
DOI: 10.1080/02786826.2016.1255714
Abstract: ABSTRACT Surfactant aerosol delivery in conjunction with a noninvasive respiratory support holds the potential to treat neonatal respiratory distress syndrome in a safe manner. The objective of the present study was to gain knowledge in… read more here.
Keywords: delivery; physical model; within physical; surfactant delivery ... See more keywords
Numerical analysis of landslides caused by rainfall in a reduced physical slope model
Sign Up to like & getrecommendations! Published in 2019 at "European Journal of Environmental and Civil Engineering"
DOI: 10.1080/19648189.2019.1580223
Abstract: Abstract To assess slopes’ movements as heavy rainfall consequences, the strategy to replace the field monitoring by the combination between the reduced physical model and numerical simulations can be envisaged. This strategy reduces the cost… read more here.
Keywords: slope; model numerical; reduced physical; physical model ... See more keywords
A tractable physical model for the yeast polarity predicts epistasis and fitness
Sign Up to like & getrecommendations! Published in 2023 at "Philosophical Transactions of the Royal Society B: Biological Sciences"
DOI: 10.1098/rstb.2022.0044
Abstract: Accurate phenotype prediction based on genetic information has numerous societal applications, such as crop design or cellular factories. Epistasis, when biological components interact, complicates modelling phenotypes from genotypes. Here we show an approach to mitigate… read more here.
Keywords: physical model; tractable physical; model; polarity ... See more keywords
Transmission capacity analysis for linear VANET under physical model
Sign Up to like & getrecommendations! Published in 2017 at "China Communications"
DOI: 10.1109/cc.2017.7897326
Abstract: In this study, the transmission capacity of VANETs in a highway scenario is analysed on the basis of a 1D line model and the carrier sense multiple access with collision avoidance (CSMA/CA) protocol. We describe… read more here.
Keywords: capacity; transmission; physical model; vanet ... See more keywords
Synthetic PPG Signal Generation to Improve Coronary Artery Disease Classification: Study With Physical Model of Cardiovascular System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3147383
Abstract: This paper presents a novel approach of generating synthetic Photoplethysmogram (PPG) data using a physical model of the cardiovascular system to improve classifier performance with a combination of synthetic and real data. The physical model… read more here.
Keywords: cardiovascular system; physical model; model cardiovascular; disease ... See more keywords
Thin Cloud Removal for Remote Sensing Images Using a Physical-Model-Based CycleGAN With Unpaired Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3140033
Abstract: Thin cloud removal from remote sensing (RS) images is challenging. Recently, deep-learning-based methods have achieved excellent results using supervised training on paired image data. However, in practice, real paired image data are unavailable. Therefore, in… read more here.
Keywords: physical model; cloud removal; thin cloud; image ... See more keywords