kiarashRezaei
AI & ML Researcher | Telecommunication Engineering Graduate from Politecnico di Milano | Expertise in TinyML, Deep Learning, Computer Vision, Signal Analysis
Pinned Repositories
AnomalyDetection_OpticalTransponders-NDA
This repository contains Jupyter notebooks of 2 different approaches for an anomaly detection task as the final project of Network Data Analysis course (A.Y. 22/23) at Politecnico di Milano. It aims to leverage machine learning techniques to detect faults in optical transponders using constellation diagrams of the 16QAM receiver.
DataTx-Mote2Channel-MQTT-TinyOs-NodeRed
sending data from a mote to thingspeak using MQTT (TinyOs, Node-red)
FingerPrintLocalization-WI-IoT-joint-project
This is a joint project for Internet of Things and Wireless Internet courses at PoliMi, A.Y 21/22.
kiarashRezaei
KPIAnalysisForE-MarketingEvaluation-ADSP
This repository contains code for analyzing Key Performance Indicator (KPI) traces in e-marketing provided by google Italy as the 3rd homework of Advanced Digital Signal Processing course (A.Y. 22/23) at politecnico di Milano.
NetworkDataAnalysis-NDA-HWs
This repository contains jupyuter notbooks for 1- Failure management in optical networks, 2- Traffic prediction and 3- QoS estimation as homeworks of network data analysis course (A.Y. 22/23) at Politecnico di Milano.
NetworkMeasurement-HWs-NM
This repository contains jupyuter notbooks for 1- active measurement, 2- website fingerprinting and 3-HTTP Request Arrival Estimation as homeworks of network measurement course (A.Y. 22/23) at Politecnico di Milano.
PlantClassification-CNN-AN2DL
This project is part of Homework 1 of Artificial Neural Network and Deep Learning(AN2DL) course (A.Y 22/23) and focuses on image classification using transfer learning with various pre-trained models such as ResNet50, ResNet152, and EfficientNetB4. The goal is to classify images into one of the eight categories.
TimeSeriesClassification-LSTM-AN2DL
The goal of this project is to develop models that can accurately classify time series data into one of multiple classes. The dataset used in this project consists of time series sequences and their corresponding labels. The models are evaluated based on various classification metrics, such as accuracy, precision, recall, and F1 score.
XrayClassifier-CNN-Radiomics-XAI-AppliedAIinBiomed
This repository contains the implementation and evaluation of various machine learning and deep learning model for the automatic classification of chest X-ray images to diagnose Pneumonia and Tuberculosis as the final project for Applied AI in Biomedicine course (A.Y. 22/23) at Politecnico di Milano.
kiarashRezaei's Repositories
kiarashRezaei/AnomalyDetection_OpticalTransponders-NDA
This repository contains Jupyter notebooks of 2 different approaches for an anomaly detection task as the final project of Network Data Analysis course (A.Y. 22/23) at Politecnico di Milano. It aims to leverage machine learning techniques to detect faults in optical transponders using constellation diagrams of the 16QAM receiver.
kiarashRezaei/NetworkDataAnalysis-NDA-HWs
This repository contains jupyuter notbooks for 1- Failure management in optical networks, 2- Traffic prediction and 3- QoS estimation as homeworks of network data analysis course (A.Y. 22/23) at Politecnico di Milano.
kiarashRezaei/NetworkMeasurement-HWs-NM
This repository contains jupyuter notbooks for 1- active measurement, 2- website fingerprinting and 3-HTTP Request Arrival Estimation as homeworks of network measurement course (A.Y. 22/23) at Politecnico di Milano.
kiarashRezaei/KPIAnalysisForE-MarketingEvaluation-ADSP
This repository contains code for analyzing Key Performance Indicator (KPI) traces in e-marketing provided by google Italy as the 3rd homework of Advanced Digital Signal Processing course (A.Y. 22/23) at politecnico di Milano.
kiarashRezaei/DataTx-Mote2Channel-MQTT-TinyOs-NodeRed
sending data from a mote to thingspeak using MQTT (TinyOs, Node-red)
kiarashRezaei/FingerPrintLocalization-WI-IoT-joint-project
This is a joint project for Internet of Things and Wireless Internet courses at PoliMi, A.Y 21/22.
kiarashRezaei/kiarashRezaei
kiarashRezaei/PlantClassification-CNN-AN2DL
This project is part of Homework 1 of Artificial Neural Network and Deep Learning(AN2DL) course (A.Y 22/23) and focuses on image classification using transfer learning with various pre-trained models such as ResNet50, ResNet152, and EfficientNetB4. The goal is to classify images into one of the eight categories.
kiarashRezaei/TimeSeriesClassification-LSTM-AN2DL
The goal of this project is to develop models that can accurately classify time series data into one of multiple classes. The dataset used in this project consists of time series sequences and their corresponding labels. The models are evaluated based on various classification metrics, such as accuracy, precision, recall, and F1 score.
kiarashRezaei/XrayClassifier-CNN-Radiomics-XAI-AppliedAIinBiomed
This repository contains the implementation and evaluation of various machine learning and deep learning model for the automatic classification of chest X-ray images to diagnose Pneumonia and Tuberculosis as the final project for Applied AI in Biomedicine course (A.Y. 22/23) at Politecnico di Milano.
kiarashRezaei/VehicleCounting-YOLOv8-ByteTrack-IACV
This repository contains all the necessary material of a vehicle counting project using the YOLOv8 object detection model in conjunction with the ByteTrack algorithm for multi-object tracking. A Jupyter notebook were implemented to run a Demo of the project on various sample videos.