Abstract: Conventional predictive maintenance models can be categorised into physics-based and data-driven approaches. In this paper, we present a novel methodology that combines both approaches by ...
Abstract: Many autonomous systems are increasingly adopting Neural Networks (NNs) based perception in vision-in-the-loop (VIL) control systems. In many industrial applications, the features (shape, ...
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