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Article
Stroke prediction from electrocardiograms by deep neural network
The brain is an energy-consuming organ that heavily relies on the heart for energy supply. Heart abnormalities detected by electrocardiogram (ECG) might provide diagnostic indicators for brain dysfunctions suc...
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Chapter and Conference Paper
OpenPTDS Dataset: Pedestrian Trajectories in Crowded Scenarios
Pedestrian simulation is an important approach for engineers to evaluate the safety issues of metro buildings. Although there exist many works of pedestrian evacuation, it is still lacking of rich evacuation d...
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Chapter and Conference Paper
Seismic Responses Prediction of Nonlinear Building Structures Based on Multi-Branch BP Neural Network
In this paper, a multi-branch back propagation neural network (BPNN) is adopted to predict the nonlinear seismic responses of an eccentric three-story reinforced concrete building. First of all, the network is...
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Chapter and Conference Paper
Semi-active Control of Eccentric Structures Based on Neural Networks
In this paper, the control approach to irregular structures excited by multi-dimensional ground motions is presented by using semi-active tuned liquid column damper (TLCD). A back propagation Artificial Neural...