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Deep Learning-Based Post-Earthquake Structural Damage Recognition

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/nme.6493openalex-extracted

A surrogate model for computational homogenization of elastostatics at finite strain using high‐dimensional model representation‐based neural network

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Target-free approach for vision-based structural system identification using consumer-grade cameras

inferredcites →https://doi.org/10.1002/stc.2507openalex-extracted

Deep learning‐based multi‐class damage detection for autonomous post‐disaster reconnaissance

inferredcites →https://doi.org/10.1007/978-3-031-15063-0_32openalex-extracted

Safety Helmet Detection at Construction Sites Using YOLOv5 and YOLOR

inferredcites →https://doi.org/10.1007/978-3-031-15063-0_33openalex-extracted

Image Segmentation of Concrete Cracks Using SegNet

inferredcites →https://doi.org/10.1007/s00366-021-01586-2openalex-extracted

Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media

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Domain adaptation based transfer learning approach for solving PDEs on complex geometries

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A CNN-based surrogate model of isogeometric analysis in nonlocal flexoelectric problems

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Classification of rotator cuff tears in ultrasound images using deep learning models

inferredcites →https://doi.org/10.1007/s13278-019-0588-4openalex-extracted

Localizing and quantifying infrastructure damage using class activation mapping approaches

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A software framework for probabilistic sensitivity analysis for computationally expensive models

inferredcites →https://doi.org/10.1016/j.autcon.2021.103941openalex-extracted

Investigation of steel frame damage based on computer vision and deep learning

inferredcites →https://doi.org/10.1016/j.cma.2016.02.031openalex-extracted

A higher-order stress-based gradient-enhanced damage model based on isogeometric analysis

inferredcites →https://doi.org/10.1016/j.cma.2016.04.002openalex-extracted

An isogeometric symmetric Galerkin boundary element method for two-dimensional crack problems

inferredcites →https://doi.org/10.1016/j.compstruc.2019.05.006openalex-extracted

Deep long short-term memory networks for nonlinear structural seismic response prediction

inferredcites →https://doi.org/10.1016/j.compstruc.2022.106863openalex-extracted

Traffic-induced bridge displacement reconstruction using a physics-informed convolutional neural network

inferredcites →https://doi.org/10.1016/j.compstruc.2022.106915openalex-extracted

Attention-based LSTM (AttLSTM) neural network for Seismic Response Modeling of Bridges

inferredcites →https://doi.org/10.1016/j.compstruc.2022.106918openalex-extracted

Convolutional networks and transformers for intelligent road tunnel investigations

inferredcites →https://doi.org/10.1016/j.engfailanal.2022.106829openalex-extracted

A novel version of grey wolf optimizer based on a balance function and its application for hyperparameters optimization in deep neural network (DNN) for structural damage identification

inferredcites →https://doi.org/10.1016/j.engfracmech.2019.106567openalex-extracted

Fast evaluation of crack growth path using time series forecasting

inferredcites →https://doi.org/10.1016/j.gsf.2020.04.003openalex-extracted

Deep learning based classification of rock structure of tunnel face

inferredcites →https://doi.org/10.1016/j.ijdrr.2019.101111openalex-extracted

Deep learning-based classification of earthquake-impacted buildings using textual damage descriptions

inferredcites →https://doi.org/10.1016/j.ins.2019.11.034openalex-extracted

Transfer learning for vehicle detection using two cameras with different focal lengths

inferredcites →https://doi.org/10.1016/j.ipm.2009.03.002openalex-extracted

A systematic analysis of performance measures for classification tasks

inferredcites →https://doi.org/10.1016/j.isprsjprs.2013.06.011openalex-extracted

A comprehensive review of earthquake-induced building damage detection with remote sensing techniques

inferredcites →https://doi.org/10.1016/j.measurement.2018.09.081openalex-extracted

Image-driven structural steel damage condition assessment method using deep learning algorithm

inferredcites →https://doi.org/10.1016/j.scs.2021.103574openalex-extracted

Information fusion for automated post-disaster building damage evaluation using deep neural network

inferredcites →https://doi.org/10.1016/j.ymssp.2016.11.021openalex-extracted

Experimental validation of cost-effective vision-based structural health monitoring

inferredcites →https://doi.org/10.1038/s41598-020-79336-5openalex-extracted

A 3D-CNN model with CT-based parametric response mapping for classifying COPD subjects

inferredcites →https://doi.org/10.1061/(asce)st.1943-541x.0002321openalex-extracted

Vision-Based Modal Survey of Civil Infrastructure Using Unmanned Aerial Vehicles

inferredcites →https://doi.org/10.1080/17452759.2022.2068446openalex-extracted

A data-driven machine learning approach for the 3D printing process optimisation

inferredcites →https://doi.org/10.1093/clinchem/39.4.561openalex-extracted

Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine

inferredcites →https://doi.org/10.1109/5.726791openalex-extracted

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/access.2020.2964424openalex-extracted

Neural Architecture Search for Skin Lesion Classification

inferredcites →https://doi.org/10.1109/cvpr.1993openalex-extracted

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-extracted

Rethinking the Inception Architecture for Computer Vision

inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-extracted

Learning Deep Features for Discriminative Localization

inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-extracted

Xception: Deep Learning with Depthwise Separable Convolutions

inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-extracted

Densely Connected Convolutional Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00907openalex-extracted

Learning Transferable Architectures for Scalable Image Recognition

inferredcites →https://doi.org/10.1109/cvprw.2009.5206848openalex-extracted

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-extracted

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

inferredcites →https://doi.org/10.1109/ijcnn.2016.7727735openalex-extracted

Feature extraction for classification method using principal component based on conformal geometric algebra

inferredcites →https://doi.org/10.1109/jas.2022.106004openalex-extracted

A Survey on Negative Transfer

inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-extracted

A Survey on Transfer Learning

inferredcites →https://doi.org/10.1109/tpami.2009.187openalex-extracted

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb00994.xopenalex-extracted

Cross-Validatory Choice and Assessment of Statistical Predictions

inferredcites →https://doi.org/10.1111/mice.12263openalex-extracted

Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks

inferredcites →https://doi.org/10.1111/mice.12363openalex-extracted

Deep Transfer Learning for Image‐Based Structural Damage Recognition

inferredcites →https://doi.org/10.1111/mice.12425openalex-extracted

Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization

inferredcites →https://doi.org/10.1111/mice.12549openalex-extracted

Postdisaster image-based damage detection and repair cost estimation of reinforced concrete buildings using dual convolutional neural networks

inferredcites →https://doi.org/10.1111/mice.12658openalex-extracted

Deep learning for post‐hurricane aerial damage assessment of buildings

inferredcites →https://doi.org/10.1145/3422622openalex-extracted

Generative adversarial networks

inferredcites →https://doi.org/10.1148/radiology.143.1.7063747openalex-extracted

The meaning and use of the area under a receiver operating characteristic (ROC) curve.

inferredcites →https://doi.org/10.1177/1475921719837509openalex-extracted

Autonomous bolt loosening detection using deep learning

inferredcites →https://doi.org/10.1177/8755293019901309openalex-extracted

Building‐damage detection method based on machine learning utilizing aerial photographs of the Kumamoto earthquake

inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-extracted

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

inferredcites →https://doi.org/10.3390/app112311229openalex-extracted

Application of Various YOLO Models for Computer Vision-Based Real-Time Pothole Detection

inferredcites →https://doi.org/10.3390/s19163556openalex-extracted

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

inferredcites →https://doi.org/10.3390/s22093471openalex-extracted

Rapid Post-Earthquake Structural Damage Assessment Using Convolutional Neural Networks and Transfer Learning

inferredcites →https://doi.org/10.4230/lipics.itcs.2018.22openalex-extracted

Convergence Results for Neural Networks via Electrodynamics

inferredcites →https://doi.org/10.48550/arxiv.1012.2599openalex-extracted

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

inferredcites →https://doi.org/10.48550/arxiv.1206.2944openalex-extracted

Practical Bayesian Optimization of Machine Learning Algorithms

inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-extracted

Conditional Generative Adversarial Nets

inferredcites →https://doi.org/10.48550/arxiv.1609.04747openalex-extracted

An overview of gradient descent optimization algorithms

inferredcites →https://doi.org/10.48550/arxiv.1712.04621openalex-extracted

The Effectiveness of Data Augmentation in Image Classification using Deep Learning

inferredcites →https://doi.org/10.48550/arxiv.1803.08375openalex-extracted

Deep Learning using Rectified Linear Units (ReLU)

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