Quanscient and Haiqu ran what they describe as the most physically complex quantum CFD simulation to date on real IBM quantum ...
Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.
audio/ includes all sound examples for the datasets used in the paper. Some of these sound examples are presented on the accompanying web-page. cfg/ includes configuration files for experiments. src/ ...
The Hacker News is the top cybersecurity news platform, delivering real-time updates, threat intelligence, data breach ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...
ABSTRACT: In order to better extract the displacement fault signals inside bearings based on the vibration characteristics of rolling bearings after failure, a two-degree-of-freedom model simplifying ...
None yet Development Code with agent mode Add Batzelis 2017 simple nonlinear PV model pvlib/pvlib-python Participants ...
We present a novel integrated mathematical and numerical framework for the nonlinear Schrödinger equation in open quantum systems under electromagnetic fields, with a particular focus on Bose-Einstein ...
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