50 citations · 75 across the 4 of their papers we have counts for
5 papers
Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation
Ahmed Ben Said, Abdelkarim Erradi
Effective management of urban traffic is important for any smart city initiative. Therefore, the quality of the sensory traffic data is of paramount importance. However, like any s…
Predicting COVID-19 cases using Bidirectional LSTM on multivariate time series
Ahmed Ben Said, Abdelkarim Erradi, Hussein Aly +1
Background: To assist policy makers in taking adequate decisions to stop the spread of COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance…
Cluster validity index based on Jeffrey divergence
Ahmed Ben Said, Rachid Hadjidj, Sebti Foufou
Cluster validity indexes are very important tools designed for two purposes: comparing the performance of clustering algorithms and determining the number of clusters that best fit…
Mobile Crowdsourced Sensors Selection for Journey Services
Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat +1
We propose a mobile crowdsourced sensors selection approach to improve the journey planning service especially in areas where no wireless or vehicular sensors are available. We dev…
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services
Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat +1
This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based o…