Agentic AI introduces new security risks. Learn how the OWASP Top 10 Risks for Agentic Applications maps to real mitigations ...
Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
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 ...
Aim Government regulations can control the design features of tobacco products, including flavours. Understanding how cigarette and e-cigarette flavour availability affects purchasing behaviour among ...
Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...
A total of 8,598 children were enrolled and classified into three groups: ADHD (n=3,678), subthreshold ADHD (s-ADHD) (n=1,495), and healthy controls (HC) (n=3,425). Data collection covered 40 ...
The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...
Missense variants remain a challenge in genetic interpretation due to their subtle and context-dependent effects. While current prediction models perform well in known disease genes, generalizability ...
(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results