Deep Learning for Detecting Building Defects Using Convolutional Neural Networks | Paper Citation Record

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This paper cites M.; Wakefield, R.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks M.; Wakefield, R

Reference 1

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This paper cites A.; Martinez, J.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks A.; Martinez, J

Reference 2

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This paper cites Particle swarm optimization model to predict scour depth around bridge pier.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Particle swarm optimization model to predict scour depth around bridge pier

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T14:53:37.750394Z

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This paper cites Sensors and Actuators A: Physical 2017, 253, 165-172.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Sensors and Actuators A: Physical 2017, 253, 165-172

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:41.052832Z

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Observation 9f7499c6-c80c-4abf-9e7f-c8cd7e0210ee · outbound

This paper cites B.; Abdaoui, A.; Elfouly, T.; Ahmed, M.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks B.; Abdaoui, A.; Elfouly, T.; Ahmed, M

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.914913Z

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Observation 40471756-d8f3-4664-803c-ee93f26fc31a · outbound

This paper cites M.; Kohler, M.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks M.; Kohler, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.865632Z

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Observation 4c599d12-b4de-4824-b65f-ad3f61a02ba0 · outbound

This paper cites In Multidisciplinary DigitalPublishing Institute: 2017.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks In Multidisciplinary DigitalPublishing Institute: 2017

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.844035Z

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Observation 96a01f6f-83e0-47bd-b70b-33b8ed15c722 · outbound

This paper cites an unresolved cited work.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:53:40.827115Z

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Observation edf40de3-ba85-41a7-b77c-f627ada48c11 · outbound

This paper cites Mechanical Systems and Signal Processing 2016, 66, 268-281.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Mechanical Systems and Signal Processing 2016, 66, 268-281

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.809879Z

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Observation 61d6a4aa-edd6-489c-9b50-cc79596f9c11 · outbound

This paper cites K.; Kim, K.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks K.; Kim, K

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.581198Z

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Observation dcafbd97-2ca9-446f-908d-3084080db8c9 · outbound

This paper cites an unresolved cited work.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:53:40.499685Z

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Observation ce53cc30-a601-4ce2-974b-60fb4f3f9db9 · outbound

This paper cites Procedia Engineering 2017, 188, 163-169.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Procedia Engineering 2017, 188, 163-169

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.482194Z

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Observation a095c7ee-b462-4e53-8e51-dc315a384d7e · outbound

This paper cites L.; Yang, Y.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks L.; Yang, Y

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.464678Z

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Observation b199c83a-57a9-40cc-a2b4-25257d1184ed · outbound

This paper cites R.; Kutz, J.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks R.; Kutz, J

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.441625Z

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Observation 1efa128f-5c03-4b81-96ad-c7d5369830c2 · outbound

This paper cites D., Image Processing -Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks D., Image Processing -Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.422105Z

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Observation 4264fbb2-e276-49fa-9695-b49351dc31ef · outbound

This paper cites In Studies in Computational Intelligence, Springer Verlag: 2017; Vol.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks In Studies in Computational Intelligence, Springer Verlag: 2017; Vol

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.402397Z

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Observation 2f7f9bb8-8614-47af-884d-f4df5c062a41 · outbound

This paper cites Infrared Phys Technol 2018, 88, 57-69.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Infrared Phys Technol 2018, 88, 57-69

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.384919Z

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Observation f1a8927a-82c6-4ab6-869d-06910e10a15b · outbound

This paper cites Gupta, R., Deterioration assessment of infrastructure using fuzzy logic and image processing algorithm.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Gupta, R., Deterioration assessment of infrastructure using fuzzy logic and image processing algorithm

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.348797Z

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Observation c2d55ffa-db0e-40a1-a923-12fd3ef6a117 · outbound

This paper cites Autom Constr 2019, 106.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Autom Constr 2019, 106

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.317473Z

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Observation 6ff0c4ae-9756-4e45-a518-805273c89ac7 · outbound

This paper cites In High Level -of-Detail BIM and Machine Learning for Automated Masonr y Wall Defect Surveying, ISARC.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks In High Level -of-Detail BIM and Machine Learning for Automated Masonr y Wall Defect Surveying, ISARC

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.301386Z

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Observation 958a0c41-6cf3-43bb-973c-d55c8f3e35ea · outbound

This paper cites “David” Position-invariant neural network for digital pavement crack analysis.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks “David” Position-invariant neural network for digital pavement crack analysis

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.283708Z

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Observation e38e7464-a7cb-4e9c-8936-79a46a66d754 · outbound

This paper cites Pothole detection in asphalt pavement images.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Pothole detection in asphalt pavement images

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.261506Z

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Observation 01eb1b81-fd24-4883-8f4d-523d5eb964f9 · outbound

This paper cites Automatic road defect detection by textural pattern recognition based on AdaBoost.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Automatic road defect detection by textural pattern recognition based on AdaBoost

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.243316Z

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Observation e8a4b63f-dba4-464c-b8e1-4f6c393fd7c9 · outbound

This paper cites Unsupervised approach for autonomous pavement-defect detection and quantification using an inexpensive depth sensor.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Unsupervised approach for autonomous pavement-defect detection and quantification using an inexpensive depth sensor

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.223349Z

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Observation 70347c32-cc8e-4145-bfbe-5b6483d1d795 · outbound

This paper cites Automated detection of multiple pavement defects.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Automated detection of multiple pavement defects

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.172481Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4b349645-f3de-438e-a871-bfbc042efe54 · outbound

This paper cites Analysis of edge -detection techniques for crack identification in bridges.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Analysis of edge -detection techniques for crack identification in bridges

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.111249Z

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Observation 8d2dee5a-1b8f-482b-a97a-de82eb67cca2 · outbound

This paper cites State of the art in sensor technologies for sewer inspection.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks State of the art in sensor technologies for sewer inspection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.093968Z

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Observation 5de877ee-0baa-4350-8543-28a6aeed9399 · outbound

This paper cites Automated detection of cracks in buried concrete pipe images.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Automated detection of cracks in buried concrete pipe images

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.075934Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3360d00a-da5d-48de-b5da-22ff328ffd5e · outbound

This paper cites Neuro -fuzzy network for the classification of buried pipe defects.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Neuro -fuzzy network for the classification of buried pipe defects

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.059222Z

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Observation 2d9d3da8-ffaa-4c26-b6a1-0a7228139647 · outbound

This paper cites Visual Pattern Recognition Supporting Defect Reporting and Condition Assessment of Wastewater Collection Systems.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Visual Pattern Recognition Supporting Defect Reporting and Condition Assessment of Wastewater Collection Systems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:40.007583Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c731505-c397-4fe9-a146-0bf2b7344b28 · outbound

This paper cites Densely Connected Convolutional Networks.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Densely Connected Convolutional Networks

Reference 31

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Source-reported events for the cited work

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Observation 7d543bd1-598d-4c32-b0a5-744dc0928073 · outbound

This paper cites Rapid entropy -based detection and properties measurement of concrete spalling with machine vision for post -earthquake safety assessments.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Rapid entropy -based detection and properties measurement of concrete spalling with machine vision for post -earthquake safety assessments

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.956216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e18964de-d11e-403a-9278-199ebc34b037 · outbound

This paper cites Identifying Collapsed Buildings Using Post -Earthquake Satellite Imagery and Convolutional Neural Networks: A Case Study of the 2010 Haiti Earthquake.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Identifying Collapsed Buildings Using Post -Earthquake Satellite Imagery and Convolutional Neural Networks: A Case Study of the 2010 Haiti Earthquake

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.939681Z

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Observation 17096738-c0f8-413b-9050-3d284206fc16 · outbound

This paper cites ISO 19208:2016- Framework for specifying performance in buildings; ISO, 2016.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks ISO 19208:2016- Framework for specifying performance in buildings; ISO, 2016

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.913852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b6c9851a-6ef3-41fd-b273-ba6f40970d22 · outbound

This paper cites Defects in Buildings: Symptoms, Investigation, Diagnosis and Cure; Stationery Office, 2001.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Defects in Buildings: Symptoms, Investigation, Diagnosis and Cure; Stationery Office, 2001

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.839141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c0c07b22-b017-445e-97c4-43783525c4a8 · outbound

This paper cites Building maintenance; Macmillan International Higher Education, 1987.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Building maintenance; Macmillan International Higher Education, 1987

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.820914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bcbf5de7-3f94-4a24-80ae-a0a3dfe0f3dd · outbound

This paper cites Defects and Deterioration in Buildings: A Practical Guide to the Science and Technology of Material Failure; Routledge, 2002.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Defects and Deterioration in Buildings: A Practical Guide to the Science and Technology of Material Failure; Routledge, 2002

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.803627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e6a4ffa-e028-442f-aa9c-79fa67c60347 · outbound

This paper cites Building maintenance; John Wiley & Sons, 2009.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Building maintenance; John Wiley & Sons, 2009

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.786333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 47c26e53-955a-4916-a1e0-d4cda220c6bd · outbound

This paper cites Construction technology 3: The techn ology of refurbishment and maintenance; Macmillan International Higher Education, 2011.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Construction technology 3: The techn ology of refurbishment and maintenance; Macmillan International Higher Education, 2011

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.748582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a0d15d27-2a5e-4084-a548-f004b46839b9 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Very deep convolutional networks for large-scale image recognition

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.731211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f15354e4-24fa-46f9-a999-389f607d133c · outbound

This paper cites Learning deep features for discriminative localization.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Learning deep features for discriminative localization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.712557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f236cd8b-6c1f-443a-9d44-aee691d3f957 · outbound

This paper cites Understanding dampness; BREbookshop, 2004.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Understanding dampness; BREbookshop, 2004

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.636990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4b9a2a8c-70c9-4a00-b42f-94fe1c21ab34 · outbound

This paper cites Diagnosing damp; RICS books, 2003.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Diagnosing damp; RICS books, 2003

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.612716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a436f5e1-1813-4a5b-b5d3-0db431b92686 · outbound

This paper cites Treatment of damp in old buildings; Technical pamphlet 8, Society for the protection of ancient buildings, Eyre & Spottiswoode Ltd, 1986.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Treatment of damp in old buildings; Technical pamphlet 8, Society for the protection of ancient buildings, Eyre & Spottiswoode Ltd, 1986

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.593811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a376c74-75d9-40ab-b058-71b49960dffc · outbound

This paper cites Defects and moisture problems in buildings from historical city centres: a case study in Portugal.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Defects and moisture problems in buildings from historical city centres: a case study in Portugal

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.538071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42dcdea2-5346-4f9f-8ce8-964c06ae0b5a · outbound

This paper cites General building defects: causes, symptoms and remedial work.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks General building defects: causes, symptoms and remedial work

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.453662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 85ad8f10-af4e-47db-99e1-5bf22cc06cfc · outbound

This paper cites Road Damage Detection and Classification with Faster R - CNN.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Road Damage Detection and Classification with Faster R - CNN

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.435795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee5edf6b-e1e0-44d5-b7fb-618cc58712df · outbound

This paper cites Autonomous structural visual inspection using region -based deep learning for detecting multiple damage types.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Autonomous structural visual inspection using region -based deep learning for detecting multiple damage types

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.417623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b32455c7-a07b-4ae9-824f-8dcfc293a808 · outbound

This paper cites Turkbey, E.; Summers, R.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Turkbey, E.; Summers, R

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.362064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b56b14cf-4cf4-43bf-bc5a-7cc5d54046a7 · outbound

This paper cites A neural network for visual pattern recognition.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks A neural network for visual pattern recognition

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.219834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b07c7fc-f954-4c08-87db-270ce7dada55 · outbound

This paper cites Deep convolutional neural networks for image classification: A comprehensive review.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Deep convolutional neural networks for image classification: A comprehensive review

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.202739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 347cf655-fa2a-4423-a47d-20517ac98c96 · outbound

This paper cites an unresolved cited work.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:53:39.186591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1c2ab7dc-6fd1-4bab-ba97-01be9db32ad1 · outbound

This paper cites How many hidden layers and nodes? Int.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks How many hidden layers and nodes? Int

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.170787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac5a19e1-60c3-41f6-9bf0-43e6ce89a811 · outbound

This paper cites Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.105144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 94e2ffc2-2847-4ad2-9661-c10ec8e35b78 · outbound

This paper cites Introduction to Neural Networks with Java; Heaton Research, Inc., 2008; ISBN 978 -1- 60439-008-7.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Introduction to Neural Networks with Java; Heaton Research, Inc., 2008; ISBN 978 -1- 60439-008-7

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:39.018162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 23623323-3fad-43ac-a9f2-28ff55b372c7 · outbound

This paper cites -Y.; Gallagher, P.W.; Tu, Z.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks -Y.; Gallagher, P.W.; Tu, Z

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.969814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ddee4d2c-7726-430f-9585-0ce78977f659 · outbound

This paper cites Fast image scanning with deep max-pooling convolutional neural networks.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Fast image scanning with deep max-pooling convolutional neural networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.882718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8155116a-5d80-4efe-8b89-bcab2f1cb3e8 · outbound

This paper cites Mixed Pooling for Convolutional Neural Netwo rks.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Mixed Pooling for Convolutional Neural Netwo rks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.830269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f3fa1f85-570a-44a5-a85e-0a8981888d30 · outbound

This paper cites an unresolved cited work.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:53:38.658425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8a96af73-0b66-40de-b101-fa701b2d6d01 · outbound

This paper cites A Survey on Transfer Learning.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks A Survey on Transfer Learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.638183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9c6f7ed5-77d5-431a-b92f-a21a4e196cba · outbound

This paper cites -J.; Kai Li; Li Fei -Fei ImageNet: A large-scale hierarchical image database.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks -J.; Kai Li; Li Fei -Fei ImageNet: A large-scale hierarchical image database

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.433310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 93d844ef-7fc5-49d1-b64d-c4d26ae09007 · outbound

This paper cites Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.412039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c4a2845f-36e1-428f-8afb-e7e7a7481f66 · outbound

This paper cites Deep Transfer Metric Learning.; 2015; pp.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Deep Transfer Metric Learning.; 2015; pp

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.332153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4bcfe22-5171-41a1-a81d-0eff25aedfcd · outbound

This paper cites -Q.; Zheng, P.; Xu, S.; Wu, X.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks -Q.; Zheng, P.; Xu, S.; Wu, X

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.180924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a5e5939f-c010-415a-94b0-9147311fc022 · outbound

This paper cites Object Detectors Emerge in Deep Scene CNNs.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Object Detectors Emerge in Deep Scene CNNs

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.164827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2cef449b-2164-4241-92fd-129370e138b8 · outbound

This paper cites an unresolved cited work.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:53:38.149566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 47819437-ac94-4afb-ab43-9432c3cdccc6 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Deep Residual Learning for Image Recognition

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-14T14:53:37.362218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 874963c7-f4b7-46aa-85b3-5d1155d68579 · outbound

This paper cites Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.132171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e34e692a-beff-40d8-bc4c-a0deb64f5312 · outbound

This paper cites Training Confidence -calibrated Classifiers for Detecting Out-of- Distribution Samples.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Training Confidence -calibrated Classifiers for Detecting Out-of- Distribution Samples

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.113626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation afe57b42-addb-4b92-989d-95ec357dde4c · outbound

This paper cites On Calibration of Modern Neural Networks.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks On Calibration of Modern Neural Networks

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.094687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71417079-a3e6-4056-98d3-2d6e04013e8d · outbound

This paper cites Concrete Problems in AI Safety.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Concrete Problems in AI Safety

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.076049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ae6771a8-936b-49c4-a4e8-13826bfe683f · outbound

This paper cites Learning Confidence for Out -of-Distribution Detection in Neural Networks.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Learning Confidence for Out -of-Distribution Detection in Neural Networks

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.056955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b4e9817-1cc4-4574-b1c5-6665ea209e3b · outbound

This paper cites -J.; Choi, W.; Büyüköztürk, O.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks -J.; Choi, W.; Büyüköztürk, O

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.039886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a9ebd3c-c810-4ce6-ae42-81108b103744 · outbound

This paper cites Concrete Crack Images for Classification.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks Concrete Crack Images for Classification

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:38.012042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 53a04cee-a3ab-48db-942e-38c4cae7c7e7 · outbound

This paper cites SDNET2018: A concrete crack image dataset for machine learning applications.

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks SDNET2018: A concrete crack image dataset for machine learning applications

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:53:37.929112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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