GitHub

Phi-OTDR_dataset_and_codes

This dataset contains six types of Phi-OTDR events, including background noises, digging, knocking, shaking, watering and walking, in total of 15,419 samples. The data is divided into training set and ...
IEEE

Dual-Channel NCSs Performance Error Estimation Under DoS Attacks and Intelligent Control Supervised by Machine Learning to AGV Application

Abstract: This study focuses on addressing the issue of estimating performance error (PE) in dual-channel networked control systems (NCSs) under denial-of-service ...
GitHub

[ACMMM 2025]DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models

DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...
IEEE

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

Abstract: This study endeavors to investigate the effectiveness of machine learning-based methodologies in enhancing the performance and reliability of Power Line Communication (PLC) systems. PLC ...