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 ...
2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
In the Chicago Urban Heritage Project, College students are turning century-old insurance atlases into interactive digital ...
Abstract: Predictive maintenance is revolutionizing the management of autonomous vehicles by proactively addressing potential component failures before they occur. This paper presents a predictive ...
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