Abstract: Electricity abuse and energy inefficiencies are still open issues in smart grid systems, demanding high-performance anomaly detection mechanisms. In this paper, we propose an IoT-enabled ...
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Abstract: Lithography hotspot detection plays a crucial role in the design-for-manufacturing (DFM) process. Recent developments in machine learning have demonstrated significant advantages in ...