Abstract: Quadrotors are popular unmanned aerial vehicles, but the unmodeled dynamics, parameter variations, and external disturbances may cause performance deterioration. Active disturbance rejection ...
The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
Abstract: High-cardinality categorical variables pose significant challenges in machine learning, particularly in terms of computational efficiency and model interpretability. Traditional one-hot ...
Google’s latest cook in AI models are now fresh out of the oven, and they are the Gemma 4 series, built from the ground up to be compact, fast, and capable enough to run efficiently on-device across a ...
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