5.1k citations · 6.5k across the 21 of their papers we have counts for
4 papers · 1 filter
Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times
Jesper C. Provoost, Andreas Kamilaris, Gyözö Gidófalvi +2
In ridepooling systems with electric fleets, charging is a complex decision-making process. Most electric vehicle (EV) taxi services require drivers to make egoistic decisions, lea…
Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques
Jesper Provoost, Luc Wismans, Sander Van der Drift +2
Public road authorities and private mobility service providers need information derived from the current and predicted traffic states to act upon the daily urban system and its spa…
Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning
Andreas Kamilaris, Francesc X. Prenafeta-Boldú
Monitoring of disasters is crucial for mitigating their effects on the environment and human population, and can be facilitated by the use of unmanned aerial vehicles (UAV), equipp…
Deep learning in agriculture: A survey
Andreas Kamilaris, Francesc X. Prenafeta-Boldu
Deep learning constitutes a recent, modern technique for image processing and data analysis, with promising results and large potential. As deep learning has been successfully appl…