Search Results for author: Brosnan Yuen

Found 9 papers, 0 papers with code

Wi-Fi and Bluetooth Contact Tracing Without User Intervention

no code implementations31 Mar 2022 Brosnan Yuen, Yifeng Bie, Duncan Cairns, Geoffrey Harper, Jason Xu, Charles Chang, Xiaodai Dong, Tao Lu

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

Privacy Preserving

Universal Activation Function For Machine Learning

no code implementations7 Nov 2020 Brosnan Yuen, Minh Tu Hoang, Xiaodai Dong, Tao Lu

This article proposes a Universal Activation Function (UAF) that achieves near optimal performance in quantification, classification, and reinforcement learning (RL) problems.

BIG-bench Machine Learning General Classification +1

A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization

no code implementations13 May 2020 Minh Tu Hoang, Brosnan Yuen, Kai Ren, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy

This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization.

General Classification Indoor Localization

Semi-Sequential Probabilistic Model For Indoor Localization Enhancement

no code implementations8 Jan 2020 Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy

In contrast, SSP leverages the information of the previous position to determine the probable location since the user's speed in an indoor environment is bounded and locations near the previous one have higher probability than the other locations.

Indoor Localization Position

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

no code implementations4 Jul 2019 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) spectrums.

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

no code implementations24 Jun 2019 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.

General Classification Multi-Label Classification

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