activity
20192022
most citedRecurrent Neural Networks For Accurate RSSI Indoor Localization

447 citations · 696 across the 11 of their papers we have counts for

collaborators
Showing eess.SPShow all

5 papers · 1 filter

eess.SP2022★ 14 cited

Wi-Fi and Bluetooth Contact Tracing Without User Intervention

Brosnan Yuen, Yifeng Bie, Duncan Cairns +5

Previous contact tracing systems required the users to perform many manual actions, such as installing smartphone applications, joining wireless networks, or carrying custom user d…

eess.SP2021

Passive Indoor Localization with WiFi Fingerprints

Minh Tu Hoang, Brosnan Yuen, Kai Ren +5

This paper proposes passive WiFi indoor localization. Instead of using WiFi signals received by mobile devices as fingerprints, we use signals received by routers to locate the mob…

eess.SP2020★ 16 cited

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…

eess.SP2019★ 144 cited

A Soft Range Limited K-Nearest Neighbours Algorithm for Indoor Localization Enhancement

Minh Tu Hoang, Yizhou Zhu, Brosnan Yuen +5

This paper proposes a soft range limited K nearest neighbours (SRL-KNN) localization fingerprinting algorithm. The conventional KNN determines the neighbours of a user by calculati…

eess.SP2019★ 447 cited

Recurrent Neural Networks For Accurate RSSI Indoor Localization

Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong +3

This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi. Instead of locating user's position one at a time as in the cases of conve…