Scientific Research Publishing

Proposal for a Machine Learning Model to Improve Hauling Productivity in an Open-Pit Mine ()

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Analytics Insight

10 Must-Know Machine Learning Algorithms for Data Science in 2026

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...
EurekAlert!

Novel method identifies critical lines in renewable-dominant hybrid AC/DC power systems

Curious about how to secure renewable-dominant power systems? A team from Shandong University developed a method combining GBDT and FP-Growth algorithms. It quickly assesses cascading failure risks, ...
IEEE

Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market

An accurate prediction of imbalance prices is crucial for making well-informed decisions within short-term energy markets. This study proposes a two-stage probabilistic framework for the prediction of ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
IEEE

A Multi-Algorithm Stacking Approach to Lung Cancer Detection with SVM, GBM, Naive Bayes, Decision Tree, and Random Forest Models

Abstract: Lung health is one of the most minor medical issues globally because of its low mortality rate and high chance of early detection. The model presented here is a multi-model design that uses ...