Deep learning for reliable mobile edge analytics in intelligent transportation systems: An overview
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultralow latency and reliable …
cities. However, realizing the true potential of ITSs requires ultralow latency and reliable …
[PDF][PDF] Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems
A Ferdowsi, U Challita, W Saad - ieeexplore.ieee.org
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable …
cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable …
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems
A Ferdowsi, U Challita, W Saad - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable …
cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable …
[PDF][PDF] Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems: An Overview
A Ferdowsi, U Challita, W Saad - IEEE Vehicular Technology Magazine, 2019 - par.nsf.gov
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable …
cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable …
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems: An Overview
A Ferdowsi, U Challita, W Saad - IEEE Vehicular Technology …, 2019 - khu.elsevierpure.com
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultralow latency and reliable …
cities. However, realizing the true potential of ITSs requires ultralow latency and reliable …
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems: An Overview
A Ferdowsi, U Challita, W Saad - IEEE Vehicular Technology Magazine, 2019 - trid.trb.org
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultralow latency and reliable …
cities. However, realizing the true potential of ITSs requires ultralow latency and reliable …
[PDF][PDF] Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems
A Ferdowsi, U Challita, W Saad - researchgate.net
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable …
cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable …
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems
A Ferdowsi, U Challita, W Saad - arXiv preprint arXiv:1712.04135, 2017 - arxiv.org
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable …
cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable …