Abstract: The ever-evolving threat landscape necessitates highly adaptable Network Intrusion Detection Systems (NIDS) powered by Machine Learning (ML). However, existing ML models often exhibit ...

Visual comparison between ESCNet and other SOTA methods. Our model accurately segments objects with complex backgrounds and intricate boundaries. For ease of use, we create a eval.sh script and a use ...

Abstract: Plant diseases significantly threaten agricultural production, impacting crop quantity and quality. Millions of tons of crops are destroyed annually, leading to economic losses and food ...

Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...