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Machine Learning Approaches in Computational Toxicology Studies
Book PartAbstract: In the present world, the use of computational toxicity assessment techniques is highly encouraged aPalabras claves:classification, Clustering, computational toxicity, Decision Trees, deep learning, Dimensionality reduction, hierarchical clustering, K-Means, K-nearest neighbor, linear discriminant analysis, linear regression, logistic regression, Machine learning, Naïve Bayes, neural network, Principal Component Analysis, QSAR, random forest, regression, semi-supervised, Supervised, SUPPORT VECTOR MACHINES, unsupervisedAutores:Ambure P., Gozalbes R., Stephen Jones BarigyeFuentes:scopusTurning deep-eutectic solvents into value-added products for CO<inf>2</inf> capture: A desirability-based virtual screening study
ArticleAbstract: Carbon dioxide capture and storage is one of the primary mitigation approaches endorsed by current gPalabras claves:CO absorption 2, deep eutectic solvents, Desirability-based screening and ranking, QSPR, ViscosityAutores:Ambure P., Halder A.K., Natalia Dias Soeiro Cordeiro M., Yunierkis Perez-CastilloFuentes:googlescopus