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Article
Feature Selection Using Tree Model and Classification Through Convolutional Neural Network for Structural Damage Detection
Structural damage detection (SDD) remains highly challenging, due to the difficulty in selecting the optimal damage features from a vast amount of information. In this study, a tree model-based method using de...
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Article
Femoral Fracture Assessment Using Acceleration Signals Combined with Convolutional Neural Network
The treatment of fractured bones is crucial for the recovery of injuries during the healing process of femur fractures. Both qualitative and quantitative analyses are critical in the treatment of fractured bon...
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Article
Structural Damage Detection Based on Vibration Signal Fusion and Deep Learning
The traditional non-parametric method of structural damage detection based on a single vibration signal has low detection accuracy of structural damages and each kind of signals has its limitation. To improve ...
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Article
Digital image correlation-based structural state detection through deep learning
This paper presents a new approach for automatical classification of structural state through deep learning. In this work, a Convolutional Neural Network (CNN) was designed to fuse both the feature extraction ...
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Article
Polypyrrole–multi-walled carbon nanotube nanocomposites synthesized in oil–water microemulsion
An oil–water microemulsion system, having been successfully used for synthesizing polypyrrole (PPy) nanoparticles, is introduced for preparing PPy–multi-walled carbon nanotube (MWCNT) nanocomposites via in sit...
