Traditional lending relies on collateral and a financial history that productive smallholder farmers may find difficult to ...

Curious about how to secure renewable-dominant power systems? A team from Shandong University developed a method combining GBDT and FP-Growth algorithms. It quickly assesses cascading failure risks, ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs.

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 limited ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

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: Aim: The study aims regulate network traffic and enhance the accuracy of intrusion detection using the XG Boost algorithm compared to the Gradient Boosting algorithm with a range of 50 to ...