A machine learning framework for computationally expensive transient models

scientific article published on 13 July 2020

A machine learning framework for computationally expensive transient models is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1038/S41598-020-67546-W
P932PMC publication ID7359323
P698PubMed publication ID32661228

P50authorKushal SinhaQ60023492
P2093author name stringAhmad Y Sheikh
Yujin Shin
Prashant Kumar
Raimundo Ho
Nandkishor K Nere
Laurie B Mlinar
P2860cites workA unified architecture for natural language processing: deep neural networks with multitask learningQ29046039
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A Bayesian computer vision system for modeling human interactionsQ57337098
Prediction of attrition in agitated particle bedsQ58419516
Mathematical Development and Comparison of a Hybrid PBM-DEM Description of a Continuous Powder Mixing ProcessQ58920193
Ab initiomolecular dynamics for liquid metalsQ60661477
Regularization and variable selection via the elastic netQ62065858
P4510describes a project that usesscikit-learnQ1026367
P433issue1
P921main subjectmachine learningQ2539
P304page(s)11492
P577publication date2020-07-13
P1433published inScientific ReportsQ2261792
P1476titleA machine learning framework for computationally expensive transient models
P478volume10