Abstract: In the letter, we propose a novel RaptorQ-based unsourced random access (URA) scheme that integrates RaptorQ codes and sparse regression codes (SPARCs) to design access schemes tailored for ...
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: This study introduces an adaptive control framework that utilizes a multiple-model approach to address actuation sign faults in six-degree-of-freedom ...
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