777 citations · 2.3k across the 39 of their papers we have counts for
7 papers · 1 filter
Universal Activation Function For Machine Learning
Brosnan Yuen, Minh Tu Hoang, Xiaodai Dong +1
This article proposes a Universal Activation Function (UAF) that achieves near optimal performance in quantification, classification, and reinforcement learning (RL) problems. For…
Deep Q-Network Based Dynamic Movement Strategy in a UAV-Assisted Network
Xukai Zhong, Yiming Huo, Xiaodai Dong +1
Unmanned aerial vehicle (UAV)-assisted communications is a promising solution to improve the performance of future wireless networks, where UAVs are deployed as base stations for e…
QoS-Compliant 3D Deployment Optimization Strategy for UAV Base Stations
Xukai Zhong, Yiming Huo, Xiaodai Dong +1
Unmanned aerial vehicle (UAV) is being integrated as an active element in 5G and beyond networks. Because of its flexibility and mobility, UAV base stations (UAV-BSs) can be deploy…
Multi-cell Edge Coverage Enhancement Using Mobile UAV-Relay
Yukuan Ji, Zhaohui Yang, Hong Shen +3
Unmanned aerial vehicle (UAV)-assisted communication is a promising technology in future wireless communication networks. UAVs can not only help offload data traffic from ground ba…
A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
Minh Tu Hoang, Brosnan Yuen, Kai Ren +5
This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization…
Cellular Communications in Ocean Waves for Maritime Internet of Things
Yiming Huo, Xiaodai Dong, Scott Beatty
The rapid advancement of Internet of Things (IoT) and 5G and beyond technologies are transforming the marine industry and research. Our understanding of the vast sea that covers 71…
Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong +3
This paper proposes a semi-sequential probabilistic model (SSP) that applies an additional short term memory to enhance the performance of the probabilistic indoor localization. Th…