59 citations · 61 across the 6 of their papers we have counts for
6 papers
A Hybrid Deep Learning Model-based Remaining Useful Life Estimation for Reed Relay with Degradation Pattern Clustering
Chinthaka Gamanayake, Yan Qin, Chau Yuen +3
Reed relay serves as the fundamental component of functional testing, which closely relates to the successful quality inspection of electronics. To provide accurate remaining usefu…
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation
Xuewen Zhang, Yan Qin, Chau Yuen +2
For health prognostic task, ever-increasing efforts have been focused on machine learning-based methods, which are capable of yielding accurate remaining useful life (RUL) estimati…
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications
Chinthaka Gamanayake, Lahiru Jayasinghe, Benny Ng +1
Even though the Convolutional Neural Networks (CNN) has shown superior results in the field of computer vision, it is still a challenging task to implement computer vision algorith…
DCASE 2018 Challenge: Solution for Task 5
Jeremy Chew, Yingxiang Sun, Lahiru Jayasinghe +1
To address Task 5 in the Detection and Classification of Acoustic Scenes and Events (DCASE) 2018 challenge, in this paper, we propose an ensemble learning system. The proposed syst…
Temporal Convolutional Memory Networks for Remaining Useful Life Estimation of Industrial Machinery
Lahiru Jayasinghe, Tharaka Samarasinghe, Chau Yuen +2
Accurately estimating the remaining useful life (RUL) of industrial machinery is beneficial in many real-world applications. Estimation techniques have mainly utilized linear model…
RF-Based Direction Finding of UAVs Using DNN
Samith Abeywickrama, Lahiru Jayasinghe, Hua Fu +2
This paper presents a sparse denoising autoencoder (SDAE)-based deep neural network (DNN) for the direction finding (DF) of small unmanned aerial vehicles (UAVs). It is motivated b…