Inrisco: Incident monitoring in smart communities

MA Igartua, FA Mendoza, RPD Redondo… - IEEE …, 2020 - ieeexplore.ieee.org
Major advances in information and communication technologies (ICTs) make citizens to be
considered as sensors in motion. Carrying their mobile devices, moving in their connected …

Detecting and reducing biases in cellular-based mobility data sets

A Rodriguez-Carrion, C Garcia-Rubio, C Campo - Entropy, 2018 - mdpi.com
Correctly estimating the features characterizing human mobility from mobile phone traces is
a key factor to improve the performance of mobile networks, as well as for mobility model …

Evaluating Regression Models for Temporal Prediction of Wi-Fi Device Mobility

A Sassi, A Bachir, W Bechkit - Wireless Personal Communications, 2021 - Springer
The ability to predict the arrival and residence time of mobile users at a particular place is
essential for the development of a wealth of new applications and services, such as smart …

[PDF][PDF] INRISCO: INcident monitoRing in Smart COmmunities

RPD REDONDO, MIM VICENTE, J FORNÉ… - academia.edu
Major advances in information and communication technologies (ICTs) make citizens to be
considered as sensors in motion. Carrying their mobile devices, moving in their connected …

Vers des services Internet basés sur les profils de mobilité des utilisateurs

A SASSI - 2022 - thesis.univ-biskra.dz
Résumé De nos jours, les modeles de prédiction de la mobilité jouent un rôle important
dans de nombreux services basés sur la localisation, tels que la livraison de nourriture, la …