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Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo‐Tagging

Computer-aided civil and infrastructure engineering, 2018-10, Vol.33 (10), p.885-902

2018

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SDDNet: Real-Time Crack Segmentation

IEEE transactions on industrial electronics (1982), 2020-09, Vol.67 (9), p.8016-8025

2020

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IEEE_Xplore

Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks

Computer-aided civil and infrastructure engineering, 2017-05, Vol.32 (5), p.361-378

2017

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Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types

Computer-aided civil and infrastructure engineering, 2018-09, Vol.33 (9), p.731-747

2018

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Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization

Computer-aided civil and infrastructure engineering, 2015-05, Vol.30 (5), p.347-358

2015

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Vision-based detection of loosened bolts using the Hough transform and support vector machines

Automation in construction, 2016-11, Vol.71, p.181-188

2016

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Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm

Structural health monitoring, 2018-03, Vol.17 (2), p.313-324

2018

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Deep learning-based automatic volumetric damage quantification using depth camera

Automation in construction, 2019-03, Vol.99, p.114-124

2019

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Fully automated vision-based loosened bolt detection using the Viola–Jones algorithm

Structural health monitoring, 2019-03, Vol.18 (2), p.422-434

2019

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Time‐varying reliability analysis based on hybrid Kalman filtering and probability density evolution

Earthquake engineering & structural dynamics, 2024-03, Vol.53 (3), p.1326-1344

2024

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Hybrid output-only structural system identification using random decrement and Kalman filter

Mechanical systems and signal processing, 2020-10, Vol.144, p.106977, Article 106977

2020

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Advances in Urban Construction and Management Engineering: Proceedings of the 3rd International Conference on Urban Construction and Management Engineering (ICUCME 2022), Guangzhou, China, 22-24 July 2022

Cha, Young-Jin

1, 2023

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Attention-based generative adversarial network with internal damage segmentation using thermography

Automation in construction, 2022-09, Vol.141, p.104412, Article 104412

2022

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Subsurface damage detection of a steel bridge using deep learning and uncooled micro-bolometer

Construction & building materials, 2019-11, Vol.226, p.376-387

2019

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Semi-Automated Air-Coupled Impact-Echo Method for Large-Scale Parkade Structure

Sensors (Basel, Switzerland), 2018-03, Vol.18 (4), p.1018

2018

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Seismic retrofit of MRF buildings using decentralized semi‐active control for multi‐target performances

Earthquake engineering & structural dynamics, 2017-03, Vol.46 (3), p.409-424

2017

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Optimal placement of active control devices and sensors in frame structures using multi-objective genetic algorithms

Structural control and health monitoring, 2013-01, Vol.20 (1), p.16-44

2013

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Efficient attention-based deep encoder and decoder for automatic crack segmentation

Structural health monitoring, 2022-09, Vol.21 (5), p.2190-2205

2022

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Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building

Sensors (Basel, Switzerland), 2016-07, Vol.16 (7), p.1016-1016

2016

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Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning

Automation in construction, 2020-10, Vol.118, p.103291, Article 103291

2020

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Evaluating ionic behavior of bicarbonate and carbamate species in blended Diisopropanolamine/2-amino-2-methyl propanol aqueous solutions using CO2 solubility experimental data and electrolyte activity coefficient models

Journal of molecular liquids, 2024-03, Vol.398, Article 124348

2024

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Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures

Automation in construction, 2021-10, Vol.130, p.103831, Article 103831

2021

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Deep learning-based active noise control on construction sites

Automation in construction, 2023-07, Vol.151, p.104885, Article 104885

2023

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Dual encoder-decoder-based deep polyp segmentation network for colonoscopy images

Scientific reports, 2023-01, Vol.13 (1), p.1183-1183, Article 1183

2023

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Decentralized output feedback polynomial control of seismically excited structures using genetic algorithm

Structural control and health monitoring, 2013-03, Vol.20 (3), p.241-258

2013

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Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo‐Tagging

SDDNet: Real-Time Crack Segmentation

Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks

Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types

Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization

Vision-based detection of loosened bolts using the Hough transform and support vector machines

Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm

Deep learning-based automatic volumetric damage quantification using depth camera

Fully automated vision-based loosened bolt detection using the Viola–Jones algorithm

Time‐varying reliability analysis based on hybrid Kalman filtering and probability density evolution

Hybrid output-only structural system identification using random decrement and Kalman filter

Advances in Urban Construction and Management Engineering: Proceedings of the 3rd International Conference on Urban Construction and Management Engineering (ICUCME 2022), Guangzhou, China, 22-24 July 2022

Attention-based generative adversarial network with internal damage segmentation using thermography

Subsurface damage detection of a steel bridge using deep learning and uncooled micro-bolometer

Semi-Automated Air-Coupled Impact-Echo Method for Large-Scale Parkade Structure

Seismic retrofit of MRF buildings using decentralized semi‐active control for multi‐target performances

Optimal placement of active control devices and sensors in frame structures using multi-objective genetic algorithms

Efficient attention-based deep encoder and decoder for automatic crack segmentation

Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building

Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning

Evaluating ionic behavior of bicarbonate and carbamate species in blended Diisopropanolamine/2-amino-2-methyl propanol aqueous solutions using CO2 solubility experimental data and electrolyte activity coefficient models

Real-time multiple damage mapping using autonomous UAV and deep faster region-based neural networks for GPS-denied structures

Deep learning-based active noise control on construction sites

Dual encoder-decoder-based deep polyp segmentation network for colonoscopy images

Decentralized output feedback polynomial control of seismically excited structures using genetic algorithm

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