447 citations · 696 across the 11 of their papers we have counts for
5 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…
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…
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…
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…
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…