IEEE

Evaluating the Impact of Gradient Boosting and Random Forest on Accuracy Improvement in Cardiovascular Risk Prediction

Abstract: The aim of the study is to compare the performance of Random Forest and Gradient Boosting for enhancing cardiovascular risk prediction accuracy for early medical intervention. This study has ...
C&EN

Improved Asphalt Binder Performance Grading Using Surrogate FTIR Data and Gradient Boosting

College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China Engineering Research Center of Advanced Metal Composites Forming Technology and Equipment, Ministry of ...
IEEE

Hydrothermal Air-Conditioner Optimal Control Scheduler Using Random Forest-Gradient Boosting Hybrid Model and Genetic Algorithm

Abstract: This research aims to formulate an optimal control algorithm for a hydrothermal air-conditioning system, with the objective of minimizing energy consumption while simultaneously ensuring ...
Frontiers

From mother to infant: predicting infant temperament using maternal mental health measures and tabular machine learning models

Background: Negative emotionality is a core dimension of infant temperament, characterized by heightened distress, reactivity, and difficulty with self-regulation. It has been consistently associated ...