no code implementations • 9 Oct 2018 • Mehdi Mohammadi, Ala Al-Fuqaha
We argue that semi-supervision is a must for smart city to address this challenge.
1 code implementation • 9 Oct 2018 • Mehdi Mohammadi, Ala Al-Fuqaha, Mohsen Guizani, Jun-Seok Oh
In this paper, we propose a semi-supervised deep reinforcement learning model that fits smart city applications as it consumes both labeled and unlabeled data to improve the performance and accuracy of the learning agent.
no code implementations • 23 Apr 2018 • Mehdi Mohammadi, Ala Al-Fuqaha, Jun-Seok Oh
This paper describes and evaluates the use of Generative Adversarial Networks (GANs) for path planning in support of smart mobility applications such as indoor and outdoor navigation applications, individualized wayfinding for people with disabilities (e. g., vision impairments, physical disabilities, etc.
1 code implementation • 9 Dec 2017 • Mehdi Mohammadi, Ala Al-Fuqaha, Sameh Sorour, Mohsen Guizani
The potential of using emerging DL techniques for IoT data analytics are then discussed, and its promises and challenges are introduced.