3D MT modeling using the T–Ω method in general anisotropic media
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2018.11.012
Abstract: Abstract We developed an algorithm to simulate magnetotelluric responses for three-dimensional general electrical anisotropic structures with finite element (FE) method. From the Maxwell's equations, the curl-curl equation in terms of the electric vector potential and… read more here.
Keywords: general anisotropic; anisotropic; method general; using method ... See more keywords
Fast 3D time-domain airborne EM forward modeling using random under-sampling
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2021.104357
Abstract: Abstract The high sampling rate of airborne electromagnetic (AEM) systems can create huge data volumes, causing major challenges for three-dimensional (3D) electromagnetic modeling and inversions and constraining the practical applicability of AEM. Rapid and accurate… read more here.
Keywords: forward modeling; random sampling; time domain; modeling using ... See more keywords
CONTRIBUTIONS TO ESTIMATION AND MODELING USING QUANTILES
Sign Up to like & getrecommendations! Published in 2020 at "Bulletin of the Australian Mathematical Society"
DOI: 10.1017/s0004972720001008
Abstract: It is well known that classical moment-based methods may not be reliable in the presence of skew and outliers. However, estimators based on quantiles are more robust in such instances and can provide more reliable… read more here.
Keywords: contributions estimation; using quantiles; parameter; estimation modeling ... See more keywords
Using Predicted Bioactivity Profiles to Improve Predictive Modeling
Sign Up to like & getrecommendations! Published in 2020 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.0c00250
Abstract: Predictive modelling is a cornerstone in early drug development. Using information for multiple domains or across prediction tasks has the potential to improve the performance of predictive modelling. However, aggregating data often leads to incomplete… read more here.
Keywords: bioactivity; profiles improve; modeling using; predicted bioactivity ... See more keywords
Protein Loop Modeling Using AlphaFold2.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3264899
Abstract: The functions of proteins are largely determined by their three-dimensional (3D) structures. Loop modeling tries to predict the conformation of a relatively short stretch of protein backbone and sidechain. It is a difficult problem due… read more here.
Keywords: loop modeling; loop; protein loop; using alphafold2 ... See more keywords
Sustainable groundwater modeling using single- and multi-objective optimization algorithms
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2016.006
Abstract: This study presents the first attempt to link the multi-algorithm genetically adaptive search method (AMALGAM) proposed by Vrugt and Robinson (2007) with a groundwater model to define pumping rates within a well distributed set of… read more here.
Keywords: groundwater; multi; sustainable groundwater; modeling using ... See more keywords
Radar Target Modeling Using In-Flight RCS Measurements
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Aircraft"
DOI: 10.2514/1.c033932
Abstract: A flight experiment with the Saab 105 aircraft and the radar cross-section measurement system Arken has been performed at C and Ku bands. Two types of trajectories were flown and the flight state w ... read more here.
Keywords: flight rcs; radar target; target modeling; modeling using ... See more keywords
Challenges and innovation: Disease modeling using human-induced pluripotent stem cell-derived cardiomyocytes
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Cardiovascular Medicine"
DOI: 10.3389/fcvm.2022.966094
Abstract: Disease modeling using human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) has both challenges and promise. While patient-derived iPSC-CMs provide a unique opportunity for disease modeling with isogenic cells, the challenge is that these cells still demonstrate… read more here.
Keywords: disease; using human; modeling using; induced pluripotent ... See more keywords
Stirling Refrigerating Machine Modeling Using Schmidt and Finite Physical Dimensions Thermodynamic Models: A Comparison with Experiments
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23030368
Abstract: The purpose of the study is to show that two simple models that take into account only the irreversibility due to temperature difference in the heat exchangers and imperfect regeneration are able to indicate refrigerating… read more here.
Keywords: machine; using schmidt; physical dimensions; refrigerating machine ... See more keywords