BMC Medical Research MethodologyBackground The win ratio has been widely used in the analysis of hierarchical composite endpoints, which prioritize critical outcomes such as mortality over nonfatal, secondary events.
Lu Mao
doaj +1 more source
Regularized Ordinal Regression with Elastic Net Approach (Case Study: Poverty Modeling in Yogyakarta Province 2018) [PDF]
, 2021 Pardomuan Robinson Sihombing +2 more
openalex +1 more source
Energy Science &Engineering, EarlyView.Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen +4 more
wiley +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
Energy Science &Engineering, EarlyView.The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
High‐performance heat‐resistant tactile sensor for intelligent sensing and safe operation
FlexMat, EarlyView.Abstract Tactile sensing in high‐temperature environments remains a critical challenge for robotic systems operating in industrial manufacturing, food processing, and other high‐temperature assembly operations. Herein, we report a heat‐resistant flexible tactile sensor with comprehensive high performance, featuring a hierarchical architecture ...
Yugang Chen +8 more
wiley +1 more source
Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil. [PDF]
Plant Phenomics, 2020 Marzougui A +4 more
europepmc +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
Journal of Forecasting, EarlyView.ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting
Journal of Forecasting, EarlyView.ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang +3 more
wiley +1 more source
267 Efficacy of Using the Elastic net Regularized Regression Method to Predict Body Weight of Beef Heifers Using Body Measurements and Calculated Frame Score [PDF]
, 2023 Mustapha Yusuf +6 more
openalex +1 more source