Machine learning models for the prediction of diffusivities in supercritical CO2 systems
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Molecular Liquids"
DOI: 10.1016/j.molliq.2021.115281
Abstract: Abstract The molecular diffusion coefficient is fundamental to estimate dispersion coefficients, convective mass transfer coefficients, etc. Since experimental diffusion data is scarce, there is significant demand for accurate models capable of providing reliable diffusion coefficient… read more here.
Keywords: machine; models prediction; learning models; prediction diffusivities ... See more keywords
Tuning machine learning models for prediction of building energy loads
Sign Up to like & getrecommendations! Published in 2019 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2019.101484
Abstract: Abstract There have been numerous simulation tools utilised for calculating building energy loads for efficient design and retrofitting. However, these tools entail a great deal of computational cost and prior knowledge to work with. Machine… read more here.
Keywords: energy loads; building energy; models prediction; energy ... See more keywords
QSAR Classification Models for Prediction of Hydroxamate Histone Deacetylase Inhibitor Activity against Malaria Parasites.
Sign Up to like & getrecommendations! Published in 2022 at "ACS infectious diseases"
DOI: 10.1021/acsinfecdis.1c00355
Abstract: Malaria, caused by Plasmodium parasites, results in >400,000 deaths annually. There is no effective vaccine, and new drugs with novel modes of action are needed because of increasing parasite resistance to current antimalarials. Histone deacetylases… read more here.
Keywords: classification models; histone; models prediction; activity ... See more keywords
Development and international validation of logistic regression and machine-learning models for the prediction of 10-years molar loss.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of clinical periodontology"
DOI: 10.1111/jcpe.13739
Abstract: AIM To develop and validate logistic regression and artificial-intelligence based models for prognostic prediction of molar survival in periodontally-affected patients. MATERIAL AND METHODS Clinical and radiographic data from 4 different centers across 3 continents (2… read more here.
Keywords: molar loss; models prediction; logistic regression; loss ... See more keywords
Application of Liquid Solution Models for the Prediction of Corrosion Phenomena in the Na–K Melt
Sign Up to like & getrecommendations! Published in 2018 at "High Temperature"
DOI: 10.1134/s0018151x18020153
Abstract: With the mathematical tool of pseudo-regular solutions, we calculated the solubility of Fe, Cr, Ni, V, Mn, and Mo in eutectic Na–K melt and compared the calculation results with the available experimental data in the… read more here.
Keywords: models prediction; application liquid; solution models; corrosion ... See more keywords
Development of artificial neural network and multiple linear regression models in the prediction process of the hot mix asphalt properties
Sign Up to like & getrecommendations! Published in 2017 at "Canadian Journal of Civil Engineering"
DOI: 10.1139/cjce-2017-0300
Abstract: The oscillation of asphalt mix composition on a daily basis significantly affects the achieved properties of the asphalt during production, thus resulting in conducting expensive laboratory tests to determine existing properties and predicting the future… read more here.
Keywords: models prediction; prediction process; asphalt; development artificial ... See more keywords
Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.1078822
Abstract: Introduction Artificial Intelligence (AI) methods are being increasingly investigated as a means to generate predictive models applicable in the clinical practice. In this study, we developed a model to predict the efficacy of immunotherapy (IO)… read more here.
Keywords: immunotherapy; world data; models prediction; artificial intelligence ... See more keywords