IEEE

Code Clone Detection Techniques Based on Large Language Models

Abstract: Code duplication, commonly known as code cloning, is a persistent challenge in software development. While reusing code fragments boosts productivity, excessive cloning poses challenges to ...
IEEE

Graph Optimization via Decoupled Edge Tuning for Efficient Industrial Anomaly Detection

Abstract: GNN-based anomaly detection is one of the most critical security strategies protecting industrial control systems (ICSs) from external attacks. Existing studies mainly focus on how to ...
IEEE

LightSTATE: A Generalized Framework for Real-Time Human Activity Detection Using Edge-Based Video Processing and Vision Language Models

Abstract: Human activity detection plays a vital role in applications such as healthcare monitoring, smart environments, and security surveillance. However, traditional methods often rely on ...
IEEE

Agents Incorporating XRL-Based Method for Threat Detection in Mobile Edge Networks for Consumer Electronics

Abstract: Real-time threat detection in mobile edge networks for consumer electronics based on the new Explainable AI (XAI) technique for reinforcement learning framework is proposed. The approach ...
GitHub

ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection

This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
IEEE

A Novel PU Method for Mining Area Based on Edge Detection Using the SegNet Model

Abstract: Due to the large deformation gradient caused by mining, it is easy to cause serious incoherence phenomenon in radar interferometry, and the traditional phase unwrapping (PU) method is ...
IEEE

Large Convolution Kernel Network With Edge Self-Attention for Oriented SAR Ship Detection

Abstract: Synthetic aperture radar (SAR) ship detection is a popular area in remote sensing, which has broad applications in fishery management, maritime rescue and marine detection. In recent years, ...
IEEE

Edge AI-Based Detection for Defective Coffee Beans Using Deep Learning and Streamlit Framework

Abstract: Coffee is one of the most popular beverages nowadays. To ensure the quality of coffee beans, farmers must go through a sorting process to distinguish between normal and defective beans.
Futurism

Malware Is Now Using AI to Rewrite Its Own Code to Avoid Detection

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...