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04/14/2022
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting
In this work, we highlight our novel evolutionary sparse time-series for...
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01/29/2022
Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures
Tensor decomposition (TD) is an important method for extracting latent i...
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11/11/2021
A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
In this paper, a novel deterioration and damage identification procedure...
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11/03/2021
Influence of image noise on crack detection performance of deep convolutional neural networks
Development of deep learning techniques to analyse image data is an expa...
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10/29/2021
Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures
In this paper, we present an application of 2-D convolutional neural net...
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05/22/2015