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1. ML-Nonlinear-Equalization ML-Nonlinear-Equalization Public

   Utilizing machine learning techniques to equalize and demap complex signals in a nonlinear manner. Developing neural networks to analyze and enhance signal processing tasks. The focus is on the rea…

   Jupyter Notebook 1

2. Application-Flow-Identification Application-Flow-Identification Public

   Classify applications using flow features with Random Forest and K-Nearest Neighbor classifiers. Explore augmentation techniques like oversampling, SMOTE, BorderlineSMOTE, and ADASYN for better han…

   Jupyter Notebook

3. LTE-Traffic-Analysis LTE-Traffic-Analysis Public

   The study aims to analyze the impact of the COVID-19 lockdown on Milan's LTE network, focusing on the 800 MHz frequency layer from January to March 2020. The goal is to understand network adaptabil…

   Jupyter Notebook

4. Priority-Scheduling Priority-Scheduling Public

   Implementation of a n-class priority scheduling for a M/D/1 queue with preemption-resume. Each class is characterized by different arrival rate and service time and preemption can be disabled via N…

   C++