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

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What this work says

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

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Evaluation of the seismic performance of a code‐conforming reinforced‐concrete frame building—from seismic hazard to collapse safety and economic losses

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

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Convolutional Neural Networks for Steel Surface Defect Detection from Photometric Stereo Images

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A logical calculus of the ideas immanent in nervous activity

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Virtual Inspector and its application to immediate pre-event and post-event earthquake loss and safety assessment of buildings

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1016/j.aei.2015.01.008openalex-snapshot

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

inferredcites →https://doi.org/10.1016/j.engstruct.2017.10.070openalex-snapshot

A novel unsupervised deep learning model for global and local health condition assessment of structures

inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.03.001openalex-snapshot

Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning

inferredcites →https://doi.org/10.1016/j.jsv.2016.10.043openalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.soildyn.2017.05.013openalex-snapshot

NEEWS: A novel earthquake early warning model using neural dynamic classification and neural dynamic optimization

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Distinctive Image Features from Scale-Invariant Keypoints

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The perceptron: A probabilistic model for information storage and organization in the brain.

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Learning representations by back-propagating errors

inferredcites →https://doi.org/10.1061/(asce)0733-9445(2009)135:10(1146)openalex-snapshot

Seismic Performance Evaluation of Facilities: Methodology and Implementation

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Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes

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

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A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures

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Gradient-based learning applied to document recognition

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Support vector machines

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Histograms of Oriented Gradients for Human Detection

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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

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Going deeper with convolutions

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Deep Residual Learning for Image Recognition

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You Only Look Once: Unified, Real-Time Object Detection

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Densely Connected Convolutional Networks

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YOLO9000: Better, Faster, Stronger

inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot

MobileNetV2: Inverted Residuals and Linear Bottlenecks

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Fast R-CNN

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A New Neural Dynamic Classification Algorithm

inferredcites →https://doi.org/10.1109/tpami.2015.2465908openalex-snapshot

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inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks

inferredcites →https://doi.org/10.1111/mice.12297openalex-snapshot

Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network

inferredcites →https://doi.org/10.1111/mice.12313openalex-snapshot

Structural Damage Detection with Automatic Feature‐Extraction through Deep Learning

inferredcites →https://doi.org/10.1111/mice.12334openalex-snapshot

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

inferredcites →https://doi.org/10.1111/mice.12351openalex-snapshot

Unified Vision‐Based Methodology for Simultaneous Concrete Defect Detection and Geolocalization

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

Deep Transfer Learning for Image‐Based Structural Damage Recognition

inferredcites →https://doi.org/10.1111/mice.12367openalex-snapshot

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

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

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

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-snapshot

A Fast Learning Algorithm for Deep Belief Nets

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Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works

inferredcites →https://doi.org/10.14359/51689560openalex-snapshot

Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete

inferredcites →https://doi.org/10.3233/ica-2010-0345openalex-snapshot

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Revision of Guideline for Post-Earthquake Damage Evaluation of RC Buildings in Japan

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How good are detection proposals, really?

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Enhanced probabilistic neural network with local decision circles: A robust classifier

inferredcites →https://doi.org/10.7277/acx0-dg18openalex-snapshot

Database of low-rise reinforced concrete buildings with earthquake damage

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Deep Learning-Based Post-Earthquake Structural Damage Recognition

inferred← citeshttps://doi.org/10.2139/ssrn.4804304openalex-extracted

Multimodal Deep Learning-Based Method for Automatic Generation of Repair Method for Steel Bridge Shallow Damage

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Intelligent structural design of shear wall residence using physics‐enhanced generative adversarial networks

inferred← citeshttps://doi.org/10.1002/suco.202300626openalex-snapshot

Holistic image‐based analysis of damage on concrete surfaces—A multifaceted approach based on supervised machine learning

inferred← citeshttps://doi.org/10.1007/978-3-031-07258-1_50openalex-snapshot

Digital Twins as Testbeds for Vision-Based Post-earthquake Inspections of Buildings

inferred← citeshttps://doi.org/10.1007/978-3-031-16788-1_21openalex-snapshot

Image-Based Detection of Structural Defects Using Hierarchical Multi-scale Attention

inferred← citeshttps://doi.org/10.1007/978-3-031-35471-7_25openalex-snapshot

Structural Damage Detection of Steel Corrugated Panels Using Computer Vision and Deep Learning

inferred← citeshttps://doi.org/10.1007/978-981-95-4072-3_14openalex-snapshot

Benchmarking of CNN Architectures for Post-earthquake Damage Assessment

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Optimization Design of High-Strength Concrete Mix Proportion Based on Machine Learning

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inferred← citeshttps://doi.org/10.1007/s11042-024-19163-2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11803-023-2167-yopenalex-snapshot

Development of a building information model-guided post-earthquake building inspection framework using 3D synthetic environments

inferred← citeshttps://doi.org/10.1007/s11831-025-10279-8openalex-snapshot

A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities

inferred← citeshttps://doi.org/10.1007/s11831-026-10556-0openalex-snapshot

AI-Driven Post-Earthquake Rapid Structural Damage Assessment: A Scoping Review of Component-Level and Holistic Approaches

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A Systematic Review of Deep Learning-Driven Defect Detection in Concrete Structures

inferred← citeshttps://doi.org/10.1007/s43503-026-00099-5openalex-snapshot

Deep learning for image-based structural element damage assessments in post-earthquake buildings: a systematic review

inferred← citeshttps://doi.org/10.1016/j.advengsoft.2021.103031openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.asoc.2023.111174openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.autcon.2023.104839openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.autcon.2023.105186openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105481openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.autcon.2025.105961openalex-snapshot

Multimodal deep learning-based automatic generation of repair proposals for steel bridge shallow damage

inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106300openalex-snapshot

Geometrically consistent energy-derivative attention CNN for semantic segmentation of multicategory structural damage

inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106596openalex-snapshot

Automated spalling characterization with a parallel laser line-camera and U-Net++ with Kolmogorov-Arnold networks (UPPKAN)

inferred← citeshttps://doi.org/10.1016/j.cma.2025.117928openalex-snapshot

Deep learning-based surrogate capacity models and multi-objective fragility estimates for reinforced concrete frames

inferred← citeshttps://doi.org/10.1016/j.compstruc.2022.106858openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.compstruc.2025.107761openalex-snapshot

Deep learning-based post-earthquake structural damage level recognition

inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107164openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110554openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.engstruct.2023.115676openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116548openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118530openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123314openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.iintel.2023.100031openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.iintel.2024.100098openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.istruc.2022.06.009openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.istruc.2024.107406openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.istruc.2024.107697openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.istruc.2025.108349openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.jobe.2022.104837openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.scs.2021.103574openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.soildyn.2025.109646openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.ymssp.2022.109175openalex-snapshot

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inferred← citeshttps://doi.org/10.1061/jitse4.iseng-3068openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/10298436.2022.2065488openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/13632469.2024.2302033openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/13632469.2024.2410946openalex-snapshot

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inferred← citeshttps://doi.org/10.1080/15732479.2023.2263441openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/jiot.2025.3553237openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/exsy.12845openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.12714openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.12767openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.12772openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.12797openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.12815openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.12890openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.12906openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.12918openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.12981openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.13023openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.13061openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.13067openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.13084openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.13103openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.13355openalex-snapshot

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inferred← citeshttps://doi.org/10.1111/mice.70117openalex-snapshot

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inferred← citeshttps://doi.org/10.1155/2024/4993972openalex-snapshot

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inferred← citeshttps://doi.org/10.1155/adce/6845779openalex-snapshot

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inferred← citeshttps://doi.org/10.13140/rg.2.2.20835.89128openalex-snapshot

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inferred← citeshttps://doi.org/10.1515/chem-2024-0052openalex-snapshot

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inferred← citeshttps://doi.org/10.2139/ssrn.5131759openalex-snapshot

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inferred← citeshttps://doi.org/10.2749/sanjose.2024.0969openalex-snapshot

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inferred← citeshttps://doi.org/10.2749/tokyo.2025.2009openalex-snapshot

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inferred← citeshttps://doi.org/10.3233/ica-210657openalex-snapshot

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inferred← citeshttps://doi.org/10.33430/v29n2thie-2021-0033openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/app14156492openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/app14177949openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/buildings14082344openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/buildings14082423openalex-snapshot

Artificial Neural Network Application in Construction and the Built Environment: A Bibliometric Analysis

inferred← citeshttps://doi.org/10.3390/buildings16010154openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s20102778openalex-snapshot

Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review

inferred← citeshttps://doi.org/10.3390/s22020532openalex-snapshot

Physics-Based Graphics Models in 3D Synthetic Environments as Autonomous Vision-Based Inspection Testbeds

inferred← citeshttps://doi.org/10.3390/s22093471openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/s22103789openalex-snapshot

A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments

inferred← citeshttps://doi.org/10.3390/s22228714openalex-snapshot

Performance Comparison of Multiple Convolutional Neural Networks for Concrete Defects Classification

inferred← citeshttps://doi.org/10.36680/j.itcon.2022.043openalex-snapshot

Artificial intelligence in construction asset management: a review of present status, challenges and future opportunities

inferred← citeshttps://doi.org/10.48550/arxiv.2111.09117openalex-snapshot

Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking

inferred← citeshttps://doi.org/10.56748/ejse.24765openalex-snapshot

Concrete Structure Identification and Damage Detection Based on Genetic Algorithm Combined with Cluster Analysis

inferred← citeshttps://doi.org/10.7712/120123.10470.20866openalex-snapshot

SMART METHOD RECOMMENDATIONS FOR THE DETECTION OF POST-EARTHQUAKE DAMAGES IN RC BUILDINGS

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