An XGBoost and SHAP framework maps wildfire susceptibility across Antalya and shows how human-related factors become more ...
Compiling got faster, but the real cost was heat and fans.
XGBoost (Extreme Gradient Boosting) is an optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable . It implements machine learning algorithms under the ...
Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Abstract: This research aims to formulate an optimal control algorithm for a hydrothermal air-conditioning system, with the objective of minimizing energy consumption while simultaneously ensuring ...
Offline, in real-world Los Angeles, most Angelenos are having a perfectly normal day. But online, the fires and riots are still raging. The powerful algorithms that fuel social media platforms are ...
摘要: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
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