Related references
Note: Only part of the references are listed.An evaluation of image-based structural health monitoring using integrated unmanned aerial vehicle platform
Muhammad Ali Akbar et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2019)
Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection
Deegan J. Atha et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2018)
Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks
Srinath S. Kumar et al.
AUTOMATION IN CONSTRUCTION (2018)
Deep Transfer Learning for Image-Based Structural Damage Recognition
Yuqing Gao et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
Vision-Based Fatigue Crack Detection of Steel Structures Using Video Feature Tracking
Xiangxiong Kong et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects
Yadong Xue et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
Visual data classification in post-event building reconnaissance
Chul Min Yeum et al.
ENGINEERING STRUCTURES (2018)
A novel unsupervised deep learning model for global and local health condition assessment of structures
Mohammad Hossein Rafiei et al.
ENGINEERING STRUCTURES (2018)
NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naive Bayes Data Fusion
Fu-Chen Chen et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Computer-Aided Approach for Rapid Post-Event Visual Evaluation of a Building Facade
Jongseong Choi et al.
SENSORS (2018)
Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types
Young-Jin Cha et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
Vision-Based Natural Frequency Identification Using Laser Speckle Imaging and Parallel Computing
KyeongTaek Park et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
A novel machine learning-based algorithm to detect damage in high-rise building structures
Mohammad Hossein Rafiei et al.
STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS (2017)
Structural Damage Detection with Automatic Feature-Extraction through Deep Learning
Yi-zhou Lin et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep-Learning Network
Allen Zhang et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Evolutionary learning based sustainable strain sensing model for structural health monitoring of high-rise buildings
Byung Kwan Oh et al.
APPLIED SOFT COMPUTING (2017)
Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Young-Jin Cha et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete
Mohammad Hossein Rafiei et al.
ACI MATERIALS JOURNAL (2017)
A texture-Based Video Processing Methodology Using Bayesian Data Fusion for Autonomous Crack Detection on Metallic Surfaces
Fu-Chen Chen et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Edge Computing: Vision and Challenges
Weisong Shi et al.
IEEE INTERNET OF THINGS JOURNAL (2016)
3D displacement measurement model for health monitoring of structures using a motion capture system
S. W. Park et al.
MEASUREMENT (2015)
Synchrosqueezed wavelet transform-fractality model for locating, detecting, and quantifying damage in smart highrise building structures
Juan P. Amezquita-Sanchez et al.
SMART MATERIALS AND STRUCTURES (2015)
Swarm robotics: a review from the swarm engineering perspective
Manuele Brambilla et al.
SWARM INTELLIGENCE (2013)
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
T Ojala et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)