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Name: Carlos Natalino
Type: User
Company: Chalmers University of Technology
Bio: Researcher @ Chalmers University of Technology, Gothenburg, Sweden
Twitter: NatalinoCarlos
Location: Goteborg, Sweden
Name: Carlos Natalino
Type: User
Company: Chalmers University of Technology
Bio: Researcher @ Chalmers University of Technology, Gothenburg, Sweden
Twitter: NatalinoCarlos
Location: Goteborg, Sweden
Source code for the paper "Experiment-based detection of service disruption attacks in optical networks using data analytics and unsupervised learning," presented at the SPIE Photonics West Conference, 2019
This is the repository for the work with title "Root Cause Analysis for Autonomous Optical Networks: A Physical Layer Security Use Case" presented at the ECOC 2020, Brussels.
Repository containing the implementation of the work published in JOCN. The work studies the impact of using dimensionality reduction methods to the identification of attacks and anomalies in optical networks.
This repository contains the implementation used to generate the results presented in the paper "Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation" presented at the 2020 JOCN.
This repository contains the implementation of the paper "Spectrum Anomaly Detection for Optical Network Monitoring using Deep Unsupervised Learning" published in the IEEE Communication Letters.
An extension pack with all the VS Code extensions needed for the EEN060/EEN065 courses.
Repository containing the implementation of the results included in the book chapter.
Implementation of a Python DBSCAN server inspired by TensorFlow Serving
Implementation of a Rust DBSCAN server inspired by TensorFlow Serving
Resource Management with Deep Reinforcement Learning (HotNets '16)
For more details, see paper: DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks
Files from Optica's "Demystifying: Machine Learning" event at APC 2024
Repository with code used in the short guides provided to students in EEN060 and EEN065 courses from Chalmers University of Technology, Sweden
Skeleton app to be used in the EEN060/EEN065 courses
A genetic algorithm solution for the RMSA problem
Simulator for circuit-switched networks with anycast traffic written in Java (Opaque WDM with datacenters is a particular use case)
Implementation details of the work "Experimental Study of Machine-Learning-Based Detection and Identification of Physical-Layer Attacks in Optical Networks" published in JLT.
This repository has the implementation of the results presented in the JLT paper.
Repository containing the data and implementation of the paper "Content Placement in 5G-enabled Edge/Core Datacenter Networks Resilient to Link Cut Attacks" published in Wiley Networks Journal
Set of reinforcement learning environments for optical networks
Instructions and code used for the Hands-on Introduction to Data Analytics and Machine Learning in Optical Networks to be presented at the OSA Advanced Photonics Congress
This repository contains the implementation used to generate the results presented in the paper "One-Shot Learning for Modulation Format Identification in Evolving Optical Networks" presented at the Postdeadline Paper Session of the 2019 OSA Advanced Photonics Congress.
Boilerplate VSCode project to be used by students during the EEN060/EEN065 course
Simulator for circuit-switched networks with anycast traffic written in Python (Opaque WDM with datacenters is a particular use case)
Simulator for circuit-switched networks written in Python (Opaque WDM is a particular use case)
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Code used in the RECODIS training school hosted in Brussels
Example of usage of the TensorFlow Serving from Rust
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.