Western OC2 Lab
Popular repositories
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AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics PublicImplementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
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Intrusion-Detection-System-Using-Machine-Learning
Intrusion-Detection-System-Using-Machine-Learning PublicCode for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
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PWPAE-Concept-Drift-Detection-and-Adaptation
PWPAE-Concept-Drift-Detection-and-Adaptation PublicData stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework …
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Intrusion-Detection-System-Using-CNN-and-Transfer-Learning
Intrusion-Detection-System-Using-CNN-and-Transfer-Learning PublicCode for intrusion detection system (IDS) development using CNN models and transfer learning
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Vibration-Based-Fault-Diagnosis-with-Low-Delay
Vibration-Based-Fault-Diagnosis-with-Low-Delay PublicPython codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and M…
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OASW-Concept-Drift-Detection-and-Adaptation
OASW-Concept-Drift-Detection-and-Adaptation PublicAn online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published …
Repositories
- Signal-Processing-for-Machine-Learning Public
This repository serves as a platform for posting a diverse collection of Python codes for signal processing, facilitating various operations within a typical signal processing pipeline (pre-processing, processing, and application).
- TinyML_EVCI Public
This repository contains code for comparing traditional Machine Learning (ML) and Tiny Machine Learning (TinyML) in terms of time, memory usage, and performance, specifically in the context of electric vehicle charging infrastructure. It also offers practical insights by implementing TinyML on the ESP32 microcontroller.
- AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security Public
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
- AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics Public
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
- Zero-Touch-Network-and-AutoML-Case-Study Public
This repository includes code for the AutoML-based case study for zero-touch networks presented in the paper "Zero-touch networks: Towards next-generation network automation" published in Computer Networks (IF:5.6).
- OASW-Concept-Drift-Detection-and-Adaptation Public
An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.
- Intrusion-Detection-System-Using-Machine-Learning Public
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
- Data-driven-Methods-for-the-Reduction-of-Energy-Consumption-in-Warehouses-Use-Case Public
This is the repository that includes the code of the use case in the paper titled "Data-driven Methods for the Reduction of Energy Consumption in Warehouses: Use-Case Driven Analysis"
