Frontiers

Explainable machine learning model for classifying atherosclerotic cardiovascular disease in patients with metabolic dysfunction-associated steatotic liver disease

Background: Cardiovascular disease (CVD) is the leading cause of mortality in patients with metabolic dysfunction-associated steatotic liver disease (MASLD), yet traditional risk predictors remain ...
IEEE

IoT-based Gradient Boosting Model for Efficient Agricultural Logistics and Transport Management

Abstract: Efficient logistics and transportation systems are essential for reducing post-harvest losses and enhancing supply chain performance in agriculture. This research introduces an IoT-enabled ...
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
IEEE

Enhancing Fraud Detection with Gradient Boosting Algorithms in Credit Card Transactions

Abstract: The paper shows the trade-offs between interpretability, computation cost and accuracy of many algorithms for fraud detection from machine learning perspective which provides important clues ...