Deep Learning-Based Real-Time Auto Classification of Smartphone Measured Bridge Vibration Data

A Self-Adaptive 1D Convolutional Neural Network for Flight-State Identification

(2019) Xi Chen et al.   SENSORS

Smartphone-Based Bridge Seismic Monitoring System and Long-Term Field Application Tests

(2019) Ashish Shrestha et al.   JOURNAL OF STRUCTURAL ENGINEERING

Deep Transfer Learning for Image-Based Structural Damage Recognition

(2018) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

End-to-End Deep Learning Methodology for Real-Time Traffic Network Management

(2018) Hossein Hashemi et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks

(2018) Mohammad Amin Nabian et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects

(2018) Yadong Xue et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

(2018) Osama Abdeljaber et al.   NEUROCOMPUTING

Development of a High-Sensitivity Wireless Accelerometer for Structural Health Monitoring

(2018) Li Zhu et al.   SENSORS

Convolutional neural networks for automated damage recognition and damage type identification

(2018) Ceena Modarres et al.   Structural Control & Health Monitoring

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

(2018) Xincong Yang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Design of damage identification algorithm for mechanical structures based on convolutional neural network

(2018) Guang Wang   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring

(2018) Zhiyi Tang et al.   Structural Control & Health Monitoring

Vibration‐based structural condition assessment using convolution neural networks

(2018) Hamid Khodabandehlou et al.   Structural Control & Health Monitoring

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

Deep residual learning for image steganalysis

(2017) Songtao Wu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Deployment of a Smart Structural Health Monitoring System for Long-Span Arch Bridges: A Review and a Case Study

(2017) Zengshun Chen et al.   SENSORS

Development of a smart-device-based vibration-measurement system: Effectiveness examination and application cases to existing structure

(2017) Ashish Shrestha et al.   Structural Control & Health Monitoring

A novel machine learning-based algorithm to detect damage in high-rise building structures

(2017) Mohammad Hossein Rafiei et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

Deep learning for automated drivetrain fault detection

(2017) Martin Bach-Andersen et al.   WIND ENERGY

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

(2016) Serkan Kiranyaz et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Preliminary Analysis of Strong Ground Motions in the Heavily Damaged Zone in Mashiki Town, Kumamoto, Japan, during the Mainshock of the 2016 Kumamoto Earthquake (Mw 7.0) Observed by a Dense Seismic Array

(2016) Yoshiya Hata et al.   SEISMOLOGICAL RESEARCH LETTERS

Deep learning

(2015) Yann LeCun et al.   NATURE