Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...
Abstract: This work proposes a model predictive control (MPC) approach aimed at optimizing the efficiency of a hybrid shipboard power system (SPS) while ensuring secure operations. A mixed integer ...
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Accurate and robust trajectory tracking under varying vehicle dynamics remains a major challenge for autonomous and semi-autonomous vehicles, where safety, comfort, and stability must be ensured ...
The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...
Organoids have become mainstay tools for drug discovery and personalized medicine. High-throughput imaging readouts for drug screening of tumor organoids are of particular interest as organoid-level ...
Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...
Ford rehired veteran engineers after AI quality systems fell short, showing why expert oversight still matters in high-stakes automation. If you can only read one tech story a day, this is it. We use ...
Basic information and contact details for the University of Limerick University of Limerick is a research-led, energetic and enterprising institution with a proud record of innovation and excellence ...
To run the Race Car example execute: main_singletrack.m A Gaussian process is used to learn unmodeled dynamics $$x_{k+1} = f_d(x_k,u_k) + B_d * ( GP(z_k) + w ...
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