1 citations · 1 across the 1 of their papers we have counts for
3 papers
Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting
Thien Pham, Angelo Furno, Faïcel Chamroukhi +1
This paper presents an advanced Federated Learning (FL) framework for forecasting complex spatiotemporal data, improving upon recent state-of-the-art models. In the proposed approa…
Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions
Romain Rochas, Angelo Furno, Nour-Eddin El Faouzi
Demand for bike sharing is impacted by various factors, such as weather conditions, events, and the availability of other transportation modes. This impact remains elusive due to t…
Optimal Subgraph on Disturbed Network
Matthieu Guillot, El-Houssaine Aghezzaf, Nour-Eddin El Faouzi +1
During the pandemic of COVID-19, the demand of the transportation systems are drastically changed both qualitatively and quantitatively and the network has become obsolete. In this…