| KEYWORD |
Analisi di dati veicolari mediante Deep Learning
Tesi esterna in azienda
Parole chiave CONTRASTIVE LEARNING, DEEP LEARNING, GRAPH NEURAL NETWORKS, MACHINE LEARNING
Riferimenti LUCA CAGLIERO, FRANCESCO VACCARINO, LUCA VASSIO
Gruppi di ricerca DAUIN - GR-04 - DATABASE AND DATA MINING GROUP - DBDM
Tipo tesi RICERCA CON AZIENDA
Descrizione Research collaboration between PoliTo and Tierra Spa -- multinational telematics service provider (https://www.tierratelematics.com/)
Objectives:
- Profiling of fleets of industrial vechicles based the analysis on geo-spatial and CAN Bus Data (i.e., IOT signals monitoring engine and vehicle status)
- Definition, identification, and characterization of Points-Of-Interests (e.g., job sites, deposits, filling stations)
- Design, development and testing of machine learning models for smart vehicle management (based upon domain experts' indications)
Techniques:
- Clustering
- Contrastive learning
- Graph Neural Networks
Conoscenze richieste Fundamentals of Python, Databases, Data Mining and Machine Learning
Scadenza validita proposta 31/08/2023
PROPONI LA TUA CANDIDATURA