An overview of some mathematical techniques and problems linking 3D vision to 3D printing

no code implementations • 19 Sep 2023 • Emiliano Cristiani, Maurizio Falcone, Silvia Tozza

Computer Vision and 3D printing have rapidly evolved in the last 10 years but interactions among them have been very limited so far, despite the fact that they share several mathematical techniques.

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Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow

no code implementations • 21 Mar 2023 • Maya Briani, Emiliano Cristiani, Elia Onofri

By means of a machine learning model based on an LSTM recursive neural network, we extrapolate two important pieces of information: 1) if congestion is appearing under the sensor, and 2) the total amount of vehicles which is going to pass under the sensor in the next future (30 min).