IEEE

ANN-Assisted Model Predictive Control Method for IPMSM Drive Using Torque-Deviations Mapping

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 ...
IEEE

Model-Free Predictive Control for PMSM Drives Using Ultra-Local With Poincaré Mapping Causality

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 ...
The Lancet

A predictive atlas of disease onset from retinal fundus photographs: a modelling study using data from population-based cohorts

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, ...
Tobacco Control

Effects of menthol cigarette and e-cigarette flavour restrictions on tobacco product purchasing: insights from the Experimental Tobacco Marketplace

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 ...
Journal of Medical Internet Research

Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the ...

Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: ...
GitHub

Fara-7B: An Efficient Agentic Model for Computer Use

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...