Results 181 to 190 of about 25,341,143 (317)

Interpretable machine learning integrated with TD-DFT descriptors and SHAP analysis for predicting the maximum absorption wavelength of azo dyes. [PDF]

RSC Adv
Fang Y, Cao C, Yin D, Luo G, Cheng Y, Wang Q.   +5 more
europepmc   +1 more source

Inter‐Verified Binary Classification Models: Unveiling Key Polymer Features Against Staphylococcus aureus

Carbon Innovation, EarlyView.
ABSTRACT Antimicrobial peptides (AMPs) are promising alternatives to antibiotics but require precise and costly sequence control for efficacy. Synthetic polymers composed of acrylate and acrylamide offer a simpler and more time‐efficient antibacterial strategy compared to AMPs.
Jooyoung Roh, Cyrille Boyer, Priyank Kumar   +2 more
wiley   +1 more source

Association of white matter hyperintensity with systemic inflammation markers and cognitive assessments: a cross-sectional study via SHAP analysis. [PDF]

Front Aging Neurosci
Gao D, Lv J, Li X, Yong W, Yu W, Wang L, Ma S, Li H, Zhang S, Guo Z, Yan H, Ju Z, Liu Y, Guo X, Wu L.   +14 more
europepmc   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +1 more source

SHAP Analysis of Machine Learning-Based Carotid Atherosclerosis Prediction of Older Adults with OSA, a Multicenter Study. [PDF]

Nat Sci Sleep
Cai WM, Rui D, Zhao LB, Gao YH, Zhao Z, Xue X, Li TJ, Nie TY, Ma Y, Liu L.   +9 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Development of a clinical prediction model for inflammatory biomarkers and enlarged basal ganglia perivascular spaces using SHAP analysis: feature selection and model interpretation. [PDF]

Front Neurol
Lv J, Gao D, Yong W, Yu W, Wang L, Ma S, Li H, Zhang S, Guo Z, Yan H, Ju Z, Liu Y, Wu L, Guo X.   +13 more
europepmc   +1 more source

The Core Language of Aldwich [PDF]

, 2013
Huntbach, Matthew
core  

Safety soft sensor development for pilot‐scale ilmenite electric arc furnace using long short‐term memory‐based architecture

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Ilmenite electric arc furnaces (EAFs) are used for smelting titanium‐iron oxide ore at high temperatures generated by electrical arcs to produce titanium slag and pig iron. As these units are pushed to their limits, ensuring safe and reliable operation becomes challenging.
Antony Gareau‐Lajoie, Djogap F. Chrysler J., Daniel Rodrigues, Marie‐Ève Gosselin, Moncef Chioua   +4 more
wiley   +1 more source

Evaluating the liver fibrosis and waist-to-height ratio(LFWHR) as a gallstone disease predictor: a nomogram model and SHAP analysis. [PDF]

Sci Rep
Zhao Y, Wang F, Zhang GY, Bie YK, Feng YB, Wang FT.   +5 more
europepmc   +1 more source