Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.
Empowering ASEAN & global businesses to make sound data-driven decisions while ensuring privacy and complianceKUALA LUMPUR, Malaysia, Feb. 10, 2026 ...
The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...
Tax and finance must constantly evolve to leverage AI, improve data quality, and meet changing regulatory demands in the AI era.
Gregory, J.M. (2026) Alzheimer’s Disease: Modeling the Effect of Daily Steps . Journal of Behavioral and Brain Science, 16, ...
Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
Elevated fine particulate matter and nitrogen dioxide exposure in the early to middle weeks of pregnancy had links to lower ...
Helix Alpha Systems Ltd is a UK-based quantitative research and systems engineering firm focused on the development of algorithmic trading strategies. The firm provides end-to-end research, modeling, ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
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