Abstract: Wireless traffic prediction plays an indispensable role in cellular networks to achieve proactive adaptation for communication systems. Along this line, Federated Learning (FL)-based ...

Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, ...

Chepkwony, I. and Keter, J. (2025) Impact of Library Resource Utilization on Secondary School Students’ Performance in Chemistry at Uasin Gishu County, Kenya. Open Journal of Social Sciences, 13, ...

All of this feels perfectly logical when you’re dealing with a hypothetical lottery. But here’s the question: why does that ...

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Background Smoke-free and aerosol-free households (SAFHs) reduce exposure to secondhand smoke and aerosol and support ...

Abstract: Accurate short-term power forecasting is crucial for the successful commercialization of solar energy, helping to prevent financial losses in energy markets. Federated learning (FL) offers a ...