[HTML][HTML] Predicting the reaction rates between flavonoids and methylglyoxal by combining molecular properties and machine learning
The kinetics of the reaction between methylglyoxal (MGO) and epigallocatechin gallate have
been investigated at pH 7.4 and 37° C, and the kinetic data were combined with previously …
been investigated at pH 7.4 and 37° C, and the kinetic data were combined with previously …
Machine learning-based technology for asphalt concrete pavement performance decision-making in hot and humid climates
Highway state agencies incur significant budget savings through optimal allocation of
pavement Maintenance, Rehabilitation, and Reconstruction (MR&R) activities. These …
pavement Maintenance, Rehabilitation, and Reconstruction (MR&R) activities. These …
Nondestructive prediction of fruit detachment force for investigating postharvest grape abscission
R Zhang, Z Bian, P Wu, Y Liu, B Li, J Xiong… - Postharvest Biology and …, 2024 - Elsevier
The distinct flavor and beneficial nutritional qualities of table grapes make them a top choice
among customers. However, due to natural senescence, environmental stress, and …
among customers. However, due to natural senescence, environmental stress, and …
Predicting the retroreflectivity degradation of waterborne paint pavement markings using advanced machine learning techniques
Waterborne paint is the most common marking material used throughout the United States.
Because of budget constraints, most transportation agencies repaint their markings based …
Because of budget constraints, most transportation agencies repaint their markings based …
Machine-learning-based framework for prediction of the long-term field performance of asphalt concrete overlays in a hot and humid climate
Pavement performance prediction models are used by state agencies to determine
pavement maintenance and rehabilitation strategies. However, most performance prediction …
pavement maintenance and rehabilitation strategies. However, most performance prediction …
Comprehensive quality evaluation of anti-wear properties and oxidation stability of different vegetable oils based on QSPR-factor analysis
R Zhang, S Yang, T Liu, Y Zhang, C Yi, D Jia, J Liu - Fuel, 2024 - Elsevier
With the increasing awareness of human environmental protection, it is urgent to find
potential bio-lubricants. Vegetable oil has attracted the interest of scientists because of its …
potential bio-lubricants. Vegetable oil has attracted the interest of scientists because of its …
Machine Learning–Based Framework for Prediction of Retroreflectivity Degradation of Pavement Markings across the US
Pavement markings are essential traffic control devices that enhance safety for motorists
during nighttime. Numerous statistical learning models have been developed in prior studies …
during nighttime. Numerous statistical learning models have been developed in prior studies …
Modeling retroreflectivity degradation of pavement markings across the US with advanced machine learning algorithms
Retroreflectivity is the primary metric that controls the visibility of pavement markings during
nighttime and in adverse weather conditions. Maintaining the minimum level of …
nighttime and in adverse weather conditions. Maintaining the minimum level of …
Estimation of semiparametric mixed analysis of covariance model
VM Alao, JRG Lansangan… - … in Statistics-Simulation and …, 2022 - Taylor & Francis
A semiparametric mixed analysis of covariance model is postulated. This model is estimated
by imbedding restricted maximum likelihood estimation and smoothing splines regression …
by imbedding restricted maximum likelihood estimation and smoothing splines regression …
Maintenance and restriping strategies for pavement markings on asphalt pavements in Louisiana
In Louisiana, most districts restripe their roadways using waterborne paints every other year;
this strategy is questionable in terms of efficiency and economy. Meanwhile, previous …
this strategy is questionable in terms of efficiency and economy. Meanwhile, previous …