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Deep Learning for Detecting Building Defects Using Convolutional Neural
  Networks

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

Italian National Conference on Sensors (INS), 2019
6 August 2019
H. Perez
J. Tah
Amir H. Mosavi
ArXiv (abs)PDFHTML

Papers citing "Deep Learning for Detecting Building Defects Using Convolutional Neural Networks"

6 / 6 papers shown
ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural Shapes
ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural ShapesInternational Journal of Architectural Computing (IJAC), 2025
Jun Yin
Jing Zhong
Pengyu Zeng
Peilin Li
Zixuan Dai
Miao Zhang
Shuai Lu
3DV
199
7
0
14 Jun 2025
A 3D Multimodal Feature for Infrastructure Anomaly Detection
A 3D Multimodal Feature for Infrastructure Anomaly DetectionAutomation in Construction (AC), 2025
Yixiong Jing
Wei Lin
Brian Sheil
Sinan Acikgoz
480
2
0
09 Feb 2025
On the hierarchical Bayesian modelling of frequency response functions
On the hierarchical Bayesian modelling of frequency response functionsMechanical systems and signal processing (MSSP), 2023
T. Dardeno
K. Worden
N. Dervilis
Robin S. Mills
L. Bull
280
17
0
12 Jul 2023
Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need
  of Conservation Using Image Classification and Grad-CAM
Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need of Conservation Using Image Classification and Grad-CAMACM Journal on Computing and Cultural Heritage (JOCCH), 2023
M. Bahrami
A. Albadvi
82
18
0
28 Feb 2023
Regularizing Deep Neural Networks with Stochastic Estimators of Hessian
  Trace
Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace
Yucong Liu
Shixing Yu
Tong Lin
275
4
0
11 Aug 2022
Sexing Caucasian 2D footprints using convolutional neural networks
Sexing Caucasian 2D footprints using convolutional neural networksPLoS ONE (PLOS ONE), 2021
M. Budka
M. R. Bennet
S. Reynolds
Shelby Barefoot
S. Reel
Selina Reidy
J. Walker
141
6
0
23 Jul 2021
1
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