A Lightweight Concept Drift Detection and Adaptation Framework for IoT
Data Streams

A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams

21 April 2021

Li Yang

Papers citing "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams"

8 / 8 papers shown

Title
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 85 6 0 28 Feb 2025
Modular Simulation Environment Towards OTN AI-based Solutions Sam Aleyadeh A. Javadtalab Abdallah Shami 28 0 0 19 Jun 2023
Anomaly Detection in Intra-Vehicle Networks A. Dwivedi 25 3 0 07 May 2022
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles Li Yang Abdallah Shami 70 67 0 27 Jan 2022
PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams Li Yang D. Manias Abdallah Shami 62 53 0 10 Sep 2021
Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection Li Yang Abdallah Moubayed Abdallah Shami P. Heidari Amine Boukhtouta Adel Larabi Richard Brunner Stere Preda D. Migault 21 29 0 24 Jul 2021
Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review Tareq Tayeh Abdallah Shami 24 0 0 11 Jul 2021
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles Li Yang Abdallah Moubayed Abdallah Shami 19 225 0 26 May 2021