184 citations · 558 across the 31 of their papers we have counts for
5 papers · 1 filter
Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids
Lei Lei, Yue Tan, Glenn Dahlenburg +2
Microgrids (MGs) are small, local power grids that can operate independently from the larger utility grid. Combined with the Internet of Things (IoT), a smart MG can leverage the s…
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei, Yue Tan, Kan Zheng +4
The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices around the world, where the IoT devices collect and share information to reflect status…
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
Lingyi Han, Kan Zheng, Long Zhao +2
Short-term road traffic prediction (STTP) is one of the most important modules in Intelligent Transportation Systems (ITS). However, network-level STTP still remains challenging du…
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving
Shiwen Liu, Kan Zheng, Long Zhao +1
In a mixed-traffic scenario where both autonomous vehicles and human-driving vehicles exist, a timely prediction of driving intentions of nearby human-driving vehicles is essential…
An In-Vehicle KWS System with Multi-Source Fusion for Vehicle Applications
Yue Tan, Kan Zheng, Lei Lei
In order to maximize detection precision rate as well as the recall rate, this paper proposes an in-vehicle multi-source fusion scheme in Keyword Spotting (KWS) System for vehicle…