This repository contains the official source code for the paper "Spectral vs. Fourier Neural Operators in Parametric PDE Modeling: Analysis and Experiments". This project conducts a systematic ...

** When you buy products through the links on our site, we may earn a commission that supports NRA's mission to protect, preserve and defend the Second Amendment. ** Springfield Armory has announced ...

The 2020 Tesla Model 3 is an electric compact luxury sedan offering a range of performance and range options. Its sleek design, minimalist interior, and advanced technology, including Autopilot, make ...

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.

Abstract: This research proposes a systematic neuro-transfer function (neuro-TF) parametric modeling with a compact embedded format. Introducing transfer functions significantly enhances the ...

In oncology drug development, tumor dynamics modeling is widely applied to predict patients' overall survival (OS) via parametric models. However, the current modeling paradigm, which assumes a ...

ABSTRACT: Modeling dynamic systems with linear parametric models usually suffer limitation which affects forecasting performance and policy implications. This paper advances a non-parametric ...

We reflect on epidemiological modeling conducted throughout the COVID-19 pandemic in Western Europe, specifically in Belgium, France, Italy, the Netherlands, Portugal, Switzerland, and the United ...

Kettle, the reinsurance focused deep-learning and artificial intelligence (AI) MGA, has partnered with Reask, provider of catastrophe modelling, climate analytics and data using machine learning ...