Abstract: Code embedding represents code semantics in vector form. Although code embedding-based systems have been successfully applied to various source code analysis tasks, further research is ...
Abstract: With recent advancements in deepfake technology, it is now possible to generate convincing deepfakes in real-time. Unfortunately, malicious actors have started to use this new technology to ...
Abstract: Vulnerability detection in source code has been a focal point of research in recent years. Traditional rule-based methods fail to identify complex and unknown vulnerabilities, leading to ...
Abstract: Code smell detection is critical for maintaining software quality and enabling effective refactoring, yet much prior work identifies only one smell at a time. This single-label framing ...
Abstract: Mobile way communication over the Internet requires error detection and correction. The detection of error at the data link layer can be controlled by ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Abstract: Error detection is a critical function of channel coding in practical communication systems. Through a combination of theoretical analysis and experimental ...
Abstract: Knowledge graphs are essential tools for representing real-world facts and finding wide applications in various domains. However, the process of constructing knowledge graphs often ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
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