Development of a QGIS plugin for the validation of burned area maps.
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR- IREA Project description: The project requires to develop a plugin in QGIS for […]
GeoInformatica
GeoInformatica
Development of tools for the analysis of the spatio-temporal distribution of nighttime active fires at global scale.
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR- IREA Project description: The project requires to develop for the user a
GeoInformatica
Implementation of a long short-term memory (LSTM) model for predicting lake water quality in burned catchments.
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR-IREA Project description: Wildfires can impact lake water quality. LSTM models can
GeoInformatica
Implementation of a model for estimating surface water runoff in burned catchments.
Teacher: Giovanna Venuti Tutor: Daniela Stroppiana – CNR-IREA Project description: Post-fire debris flows can have erosion rates greater than unburned
GeoInformatica
Implementation of an algorithm for mapping snow cover from time series of Sentinel-2 and Sentinel-3 data in Lombardy, Italy
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR- IREA Project description: This project focuses on the implementation of a
GeoInformatica
Using Sentinel-2 for LCZ mapping and material fraction computation through spectral unmixing (assigned to Stefano Brazzoli)
Teacher: Maria Brovelli (maria.brovelli@polimi.it) Tutors: Daniele Oxoli (daniele.oxoli@polimi.it); Alberto Vavassori (alberto.vavassori@polimi.it) Keyword: Sentinel-2, Local Climate Zones, spectral unmixing Technologies: Python,
GeoInformatica
Off-line Subject-Specific AI Assistant Development Framework (assigned to Junjie Mu)
The objective of this project is to develop a prototype framework for deploying offline, subject-specific AI assistants, with a focus
Architetture dei sistemi di elaborazione
Body Sensor Network: interazione con nuovi sensori
La Body Sensor Network (BSN) è una rete di sensori indossabili, per rilevare parametri vitali da elaborare. Applicazioni tipiche: monitoraggio
Progetto
Implementazione portabile su diverse architetture CPU/GPU di una mini-app di molecular docking
Nel contesto del drug discovery, il molecular docking consiste nell’analisi e nella previsione dell’interazione tra una molecola (ligando) e il