Preserving biodiversity and ecological balance depends on wildlife corridors. For conservation efforts to succeed, monitoring these corridors effectively is vital. This study introduces a method for ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

This repository contains the implementation code for our paper on explainable fault diagnosis of marine diesel engine combustion chamber components using thermodynamic simulation-assisted machine ...