Results 161 to 170 of about 14,298 (230)

Development of advanced machine learning models for optimization of methyl ester biofuel production from papaya oil: Gaussian process regression (GPR), multilayer perceptron (MLP), and K-nearest neighbor (KNN) regression models

Arabian Journal of Chemistry, 2023
openaire   +1 more source

A Data-Driven Gaussian Process Regression Model for Concrete Complex Dielectric Permittivity Characterization. [PDF]

Sensors (Basel)
Angiulli G, Versaci M, Burrascano P, Laganá F.   +3 more
europepmc   +1 more source

Predictive modeling and optimization of surface roughness in Reverse-µEDM fabricated microeletrode arrays using ML models. [PDF]

Sci Rep
Pratap S, Kumar P, Kishore H, Datta S, Huluka AB.   +4 more
europepmc   +1 more source

Noninvasive Sensing of Foliar Moisture in Hydroponic Crops Using Leaf-Based Electric Field Energy Harvesters. [PDF]

Biosensors (Basel)
Menéndez-Granizo O, Chugá-Portilla A, Arevalo-Ramirez T, Vásconez JP, Auat-Cheein F, Prado-Romo Á.   +5 more
europepmc   +1 more source

Integrated use of finite element analysis and gaussian process regression in the structural analysis of AISI 316 stainless steel chimney systems. [PDF]

Sci Rep
Tanriver K, Etyemez A, Ay M.
europepmc   +1 more source

Porosity/Cement Index and Machine Learning Models for Predicting Tensile and Compressive Strength of Cemented Silt in Varying Compaction Conditions. [PDF]

Materials (Basel)
Baldovino JA, Coronado-Hernández OE, Nuñez de la Rosa YE.   +2 more
europepmc   +1 more source

Adaptive Bayesian learning for stability characterization of re-entry vehicles. [PDF]

Sci Rep
Tiwari B, Musharrat L, Romeo SAS, Kassem A, Kara K, San O.   +5 more
europepmc   +1 more source

Machine Learning-Driven Computer Vision System for Automated Fat and Energy Quantification in Human Milk Microcapillaries. [PDF]

Sensors (Basel)
Huamanga-Chumbes LE, Sacoto-Cabrera EJ, Lloret J, Silva-Alvarado VL, Huicho-Mendigure A, Moreno-Cardenas E.   +5 more
europepmc   +1 more source

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