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Found 6 papers, 2 papers with code
Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges
We argue that semi-supervision is a must for smart city to address this challenge.
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services
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.
Path Planning in Support of Smart Mobility Applications using Generative Adversarial Networks
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.
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
The potential of using emerging DL techniques for IoT data analytics are then discussed, and its promises and challenges are introduced.
