IEEE

An Multi-Agent Reinforcement Learning-Based Adaptive Multi-Objective Evolutionary Algorithm

Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...
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

Federated Learning for Early Heart Disease Prediction using Multilayer Perceptron Models

Abstract: Heart disease continues to be a leading global health concern, and early detection is critical to improving patient outcomes. While machine learning models have shown promise in predicting ...