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20192022
most citedRecurrent Neural Networks For Accurate RSSI Indoor Localization

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

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6 papers · 1 filter

cs.LG2019

Hardware/Software Codesign for Training/Testing Multiple Neural Networks on Multiple FPGAs

Brosnan Yuen

Most neural network designs for FPGAs are inflexible. In this paper, we propose a flexible VHDL structure that would allow any neural network to be implemented on multiple FPGAs. M…

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…

cs.LG2019

Classifying Multi-Gas Spectrums using Monte Carlo KNN and Multi-Resolution CNN

Brosnan Yuen

A Monte Carlo k-nearest neighbours (KNN) and a multi-resolution convolutional neural network (CNN) were developed to detect the presences of multiple gasses in near infrared (IR) s…

cs.LG2019★ 1 cited

Multi-label Classification with Optimal Thresholding for Multi-composition Spectroscopic Analysis

Luyun Gan, Brosnan Yuen, Tao Lu

In this paper, we implement multi-label neural networks with optimal thresholding to identify gas species among a multi gas mixture in a cluttered environment. Using infrared absor…

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…

physics.space-ph2019★ 3 cited

Low Cost Radiation Hardened Software and Hardware Implementation for CubeSats

Brosnan Yuen, Mihai Sima

CubeSats are small satellites used for scientific experiments because they cost less than full sized satellites. Each CubeSat uses an on-board computer. The on-board computer perfo…