Digital material-process passport
Although industrial traceability is more and more digitalized, and concepts such as digital product passports are gaining relevance, current metal-manufacturing […]
Progetto
Progetto
Monitoring dashboard for co-housing environments
The project context is to support self-determination for users with intellectual disabilities living in co-housing environments through interaction with a
GeoInformatica, Progetto
Exploratory Analysis of the Anemoi Framework for Machine Learning in Weather Forecasting
Docente: Giovanna Venuti Tutor Aziendale: Nicolò Taggio Planetek Italia (taggio@planetek.it) Area di ricerca: Machine Learning in weather forecasting Keywords Machine Learning, Weather Forecasting, Anemoi Description The proposed
GeoInformatica, Progetto
Implementation of pre-processing of Planet images and extraction of features for mapping fuel categories (assigned)
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR/IREA Description: This project focuses on the development of automated workflows for
GeoInformatica, Progetto
Development of a Multi-Source Dataset for Assessing Wildfire Impacts on Lake Water Quality (assigned)
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR/IREA Description: This project focuses on the construction of a harmonised, multi-source
GeoInformatica, Progetto
Transformer-based AI for anomaly detection and predictive monitoring in GNSS displacement time series
Teacher: Giovanna Venuti Tutor: Andrea Gatti (Geomatics Research and Development srl – GReD) Research area: GNSS, Geospatial data analysis, Artificial
Progetto
Random Forest Training Acceleration through HW-SW co-design techniques
Docente Marco Santambrogio (marco DOT santambrogio AT polimi DOT it) Referente del progetto Alessandro Verosimile (alessandro DOT verosimile AT polimi
GeoInformatica
Forest Cover Validation Framework for Multi-Temporal Land Cover Maps (assigned to B. Hao & H. Ye)
The goal of this project is to develop a reproducible validation framework to assess the accuracy and temporal consistency of
GeoInformatica, Progetto
Development of a deep learning model for mapping burned areas in PlanetScope images (assigned)
Teacher: Giovanna Venuti Tutor: Dr. Daniela Stroppiana – CNR/IREA Description: Accurate mapping of burned areas is essential for monitoring wildfire
GeoInformatica, Progetto
Implementation of Long Short-Term Memory (LSTM) models for the prediction of vegetation indices (NDVI, NDMI) from time series of meteorological variable for Lombardy region, Italy (assigned)
Teacher: Giovanna Venuti Tutor: Daniela Stroppiana Description: Satellite-derived vegetation indices such as the Normalized Difference Vegetation Index (NDVI) are widely