Engineering

Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org
"Creating a Dataset to Boost Civil Engineering Deep Learning Research and Application"
written by Murad Al Qurishee, Weidong Wu, Babatunde Atolagbe, Joseph Owino, Ignatius Fomunung, Mbakisya Onyango,
published by Engineering, Vol.12 No.3, 2020
has been cited by the following article(s):
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[2] Designing a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation
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[3] Research and Application of Intelligent Detection Technology for Bridge Girder Bottom Appearance Defects by Suspended Bridge Inspection Vehicle
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[4] A probabilistic framework for prognostics with uncertainty quantification based on physics-guided bayesian neural networks
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[5] Cost-Efficient Image Semantic Segmentation for Indoor Scene Understanding Using Weakly Supervised Learning and BIM
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[6] Datasets and processing methods for boosting visual inspection of civil infrastructure: A comprehensive review and algorithm comparison for crack classification …
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[7] Datasets and methods for boosting infrastructure inspection: A survey on defect classification
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[8] Probabilistic methods and neural networks in structural engineering
… International Journal of …, 2022
[9] 機械学習による橋梁の損傷推定を想定した教師データセットの生成
土木学会論文集 A1 (構造・地震工学), 2022
[10] Exploiting Data Analytics and Deep Learning Systems to Support Pavement Maintenance Decisions
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[11] Synthetic data generation using building information models
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[12] A new approach to Road Pavement Management Systems by exploiting Data Analytics, Image Analysis and Deep Learning
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[13] Promoting Educational Reform to Enhance Talent Cultivation Quality of Civil Engineering Majors Based on Deep Learning Background
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