Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
Abstract: In recent years, Large Language Models (LLMs) have been in the spotlight over very diverse fields of research and development. Powered by the concept of Agents, LLMs have acquired ...
This release introduces significant enhancements to data accuracy and infrastructure. Key updates include a comprehensive revision of the real GDP series and the deployment of a fully automated, cloud ...
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