Progress in physics-based simulators and robotics makes it easier to use neuromechanical modeling to test hypotheses about ...
Follow this section to personalize your feed and get instant alerts. WHY FOLLOW? Update your preferences in Account Settings Personalized Content Follow this tag to personalize your feed and get ...
Public experiment log using Get Physics Done (GPD) with Codex to explore predictive control of tokamak plasma turbulence and confinement. A physics-based flight simulator for optimizing airbrake ...
AxionCura is a machine learning–based early stroke prediction system that analyzes patient health attributes to estimate stroke risk. It includes a trained pipeline model and a simple Python interface ...
It’s far from news to any business leader that our current rate of cyberattacks has become a serious problem. In 2024, 72% of organizations reported an increase in cyber risks, driven by the growing ...
Marc Santos is a Guides Staff Writer from the Philippines with a BA in Communication Arts and over six years of experience in writing gaming news and guides. He plays just about everything, from ...
Abstract: Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by replacing physical models with ...
Functional connectivity (FC) analysis holds strong potential for predicting behavioral traits. However, whole-brain predictive models face challenges with interpretability and generalizability, while ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results