Integrating Google Mobility Indices for Forecasting Infectious Diseases Incidence: A Multi‐Country Study on COVID‐19 With LightGBM
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Forecasting"
DOI: 10.1002/for.70006
Abstract: Reliable forecasts of infectious disease trajectories are indispensable for timely public health action and allocation of medical resources. However, most time‐series forecasting frameworks still rely solely on historical case counts and thus struggle to capture… read more here.
Keywords: country; mobility; integrating google; google mobility ... See more keywords
LightGBM-Based Fault Diagnosis of Rotating Machinery Under Changing Working Conditions Using Modified Recursive Feature Elimination
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195939
Abstract: This article presents an intelligent and accurate framework for fault diagnosis of induction motors using light gradient boosting machine (LightGBM). The proposed framework offers promising generalization ability when the testing data contains new unseen operating… read more here.
Keywords: recursive feature; fault diagnosis; lightgbm; feature ... See more keywords
Intelligent System for Student Performance Prediction: An Educational Data Mining Approach Using Metaheuristic-Optimized LightGBM with SHAP-Based Learning Analytics
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DOI: 10.3390/app152010875
Abstract: Educational data mining (EDM) plays a crucial role in developing intelligent early warning systems that enable timely interventions to improve student outcomes. This study presents a novel approach to student performance prediction by integrating metaheuristic… read more here.
Keywords: educational data; student; performance; prediction ... See more keywords