Application of orthogonal CNOP-I in a convection-allowing ensemble prediction system based on CMA-MESO for improving extreme ...

Abstract: Flood frequency analysis is critical in water system design and estimating flood recurrence. This study aims to conduct the flood frequency analysis on stream flow site to find the optimum ...

Randall Morck of the Alberta School of Business says economists too often regard people as "dynamic, stochastic optimization ...

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Probability models that once belonged to high-stakes poker have become a backbone for NHL betting analytics. It’s no longer just “feeling lucky.” Frameworks honed over decades of card play have found ...

Large language models already read, write, and answer questions with striking skill. They do this by training on vast libraries of text. Once that training ends, though, the model’s knowledge largely ...

The Basel II Capital Accord emphasizes the importance of accurate risk measurement and capital adequacy. This influences our model requirements in several ways: Interpretability: Financial ...

Integrity monitoring is crucial in applications closely related to the safety of human life and property, such as aviation, maritime navigation, autonomous driving, and rail transportation. Receiver ...

Analysts have raised their expectations of a recession in America's near future. A prediction model from the global financial services firm JPMorgan Chase, analyzed by Bloomberg, suggests that the ...

This comprehensive study meticulously evaluated six probability distribution models for the compressive strength of 24 concrete blocks, 12 with metakaolin and 12 without addition. The models analyzed ...