| KEYWORD |
Machine Learning Techniques for the Analysis and Prediction of Visitors Flows (𝓐𝓡𝓣ificial Intelligence)
Parole chiave ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, PREDICTION METHODS
Riferimenti SANDRO CUMANI, GIOVANNI SQUILLERO
Gruppi di ricerca DAUIN - GR-05 - ELECTRONIC CAD & RELIABILITY GROUP - CAD
Tipo tesi RESEARCH, INNOVATIVE
Descrizione Analysis of the visitors flow in the main Museums of Torino, with the goal to build a predictive model and anomaly detector.
Note The project will be deployed in Python 3 on a Linux machine.
Scadenza validita proposta 31/08/2021
PROPONI LA TUA CANDIDATURA