Reference health
Wall Crack Multiclass Classification: Expertise-Based Dataset Construction and Learning Algorithms Performance Comparison
32/32 checkable references clean · checked 2026-07-25
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 32 checked references that resolve
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Unified classification of defects detected by the technical examination
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Investigation on Wall Crack Damage and Its Proposed Repair Method
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Some Common Maintenance Problems and Building Defects: Our Experiences
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Crack classification in concrete based on acoustic emission
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Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
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Emerging artificial intelligence methods in structural engineering
resolves10.1016/j.autcon.2021.103786
Semi-supervised semantic segmentation network for surface crack detection
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Modelling the thermal behaviour of a building facade using deep learning
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Crack Detection from a Concrete Surface Image Based on Semantic Segmentation Using Deep Learning
resolves10.1109/INDICON49873.2020.9342392
Wall Crack Detection Using Transfer Learning-based CNN Models
resolves10.1080/23311916.2022.2065900
Automated building classification framework using convolutional neural network
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Deep learning for bridge load capacity estimation in post-disaster and -conflict zones
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ABECIS: an Automated Building Exterior Crack Inspection System using UAVs, Open-Source Deep Learning and Photogrammetry
resolves10.1016/j.autcon.2020.103199
Deep convolution neural network-based transfer learning method for civil infrastructure crack detection
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Using grayscale images for object recognition with convolutional-recursive neural network
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Research on Fish Image Classification Based on Transfer Learning and Convolutional Neural Network Model
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Automatic classification of rural building characteristics using deep learning methods on oblique photography
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Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
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Implementation of color face recognition using PCA and k-NN classifier
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Robust classification of primary brain tumor in Computer Tomography images using K-NN and linear SVM
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A parallel network of modified 1-NN and k-NN classifiers – Application to remote-sensing image classification
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A kNN algorithm for locating and quantifying stiffness loss in a bridge from the forced vibration due to a truck crossing at low speed
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BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA
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Speech based emotion recognition using spectral feature extraction and an ensemble of kNN classifiers
The 12 references without a DOI — listed, not checked
no DOI — not checkedBuilding Component Defects Due to Land Settlement: A Case Study of Miri Industrial Training Institute
no DOI — not checkedA machine learning approach to detecting cracks in levees and floodwalls
no DOI — not checkedDevelopment of deep learning model for the recognition of cracks on concrete surfaces
no DOI — not checkedTouretzky, D. (1989). Handwritten Digit Recognition with a Back-Propagation Network. Advances in Neural Information Processing Systems, Morgan-Kaufmann.
no DOI — not checkedÖzgenel, Ç.F. (2018). Concrete Crack Images for Classification, V1. Mendeley Data.
no DOI — not checkedMaguire, M., Dorafshan, S., and Thomas, R.J. (2018). SDNET2018: A Concrete Crack Image Dataset for Machine Learning Applications, Utah State University.
no DOI — not checkedChromium (2022, September 13). Getting Started with ChromeDriver on Desktop. Available online: https://chromedriver.chromium.org/home.
no DOI — not checkedFarzam, H., Hogan, M.B., Holub, E.P., Kaetzel, L.J., and Luther, M.D. (2022, September 13). ACI 116R-00 Cement and Concrete Terminology Reported by ACI Committee 116 2000. Available online: http://dl.mycivil.ir/dozanani/ACI/ACI%20116R-00%20Cement%20and%20Concrete%20Terminology_MyCivil.ir.pdf.
no DOI — not checkedHarris, C.M. (2006). Dictionary of Architecture & Construction, McGraw-Hill. [4th ed.].
no DOI — not checkedPool, R. (1995). Assessment of damage in low-rise buildings—Digest 251. Build. Res. Establ., 8.
no DOI — not checkedSimonyan, K., and Zisserman, A. (2015, January 7–9). Very deep convolutional networks for large-scale image recognition. Proceedings of the 3rd International Conference on Learning Representations, ICLR 2015—Conference Track Proceedings, San Diego, CA, USA.
no DOI — not checkedBishop, C.M., and Nasrabadi, N.M. (2006). Pattern Recognition and Machine Learning, Springer. [1st ed.].
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