Abstract: In the era of pervasive computing, machine learning (ML) is increasingly deployed on resource-constrained devices, such as smartphones, IoT devices, and edge nodes. This research explores ML ...
Synthesizing tables—creating artificial datasets that closely resemble real ones—plays a crucial role in supervised machine learning (ML), with a wide range of practical applications. These include ...
Abstract: Chemical process industries require robust fault detection systems to ensure operational safety, product quality, and environmental compliance. However, existing methods face three critical ...
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