Frontier AI models blew up betting on real-world football markets. They knew the right strategy—but failed to execute it. A ...

Abstract: Low-altitude unmanned aerial vehicles (UAVs) are increasingly employed in surveillance and monitoring tasks such as perimeter inspection, urban patrol, and emergency response. Object ...

A novel fraud detection system that combines gradient boosting ensembles (LightGBM, XGBoost, CatBoost) with adaptive threshold mechanisms and uncertainty calibration. Unlike fixed-threshold approaches ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Researchers at Central South University in China have developed a new model to improve ultra-short-term photovoltaic (PV) power prediction, as detailed in their publication in Frontiers in Energy. In ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

ABSTRACT: 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 ...