CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

This paper reviews recent studies in music genre classification, focusing on the effectiveness of XGBoost and other machine learning algorithms. Despite challenges like limited datasets and the ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

E-Vega Mobility Labs has developed EV Doctor, a compact, AI-powered device that diagnoses EV battery health in just 15 ...

Bearing fault detection plays a vital role in the industry. However, current detection systems cannot identify bearing faults robustly and easily. Therefore, this paper proposes a novel algorithm to ...

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To delineate the metastatic microenvironment,, researchers in China have ...

I'm trying to create my own minimal inference engine without direct dependency of XGBoost itself. My final goal is to implement it in Rust but here I first test the concept in Python.