Abstract: This paper presents an innovative approach to enhancing resource utilization and model accuracy in decentralized federated learning (DFL) environments. We introduce a decentralized ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Abstract: Intrusion detection in Internet of things (IoT) networks is critical for safeguarding devices and communication infrastructures. This study investigates IoT intrusion detection using XGBoost ...

Accurate channel-estimation algorithms are critical for enhancing the throughput of wireless communication systems, including millimetre wave (mmWave) multiple-input multiple-output (MIMO) systems, ...

A comprehensive machine learning solution for predicting productivity in garment manufacturing facilities using historical production data. This project enables factory managers to optimize resource ...

Diabetes affects over 537 million adults globally, with early detection critical for effective treatment and management. This project develops a machine learning classification model to predict ...