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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++