Drone-assisted segmentation of tile peeling on building façades using a deep learning model-Reference-Cited by-同舟云学术

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Drone-assisted segmentation of tile peeling on building façades using a deep learning model

Published:2023-12 Issue: Volume:80 Page:108063
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Cao Minh-Tu^ORCID

Funder

National Science and Technology Council

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference42 articles.

1. Setting a priority benchmark for building maintenance in Taiwan's national universities;Chang;J. Architect. Plann. Res.,2008

2. Innovative strain sensing for detection of exterior wall tile lesion: smart skin sensory system;Chang;Materials,2018

3. The development of a diagnostic model for the deterioration of external wall tiles of aged buildings in taiwan;Chiang;J. Asian Architect. Build Eng.,2016

4. Study on exterior wall tile degradation conditions of high-rise buildings in taoyuan city;Liao;J. Asian Architect. Build Eng.,2018

5. Surface crack detection using deep learning with shallow CNN architecture for enhanced computation;Kim;Neural Comput. Appl.,2021

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2. UAV-Embedded Sensors and Deep Learning for Pathology Identification in Building Façades: A Review;Drones;2024-07-22

3. Deep learning-based automated tile defect detection system for Portuguese cultural heritage buildings;Journal of Cultural Heritage;2024-07

4. Weakly supervised deep learning-based concrete aggregates automatic segmentation for assessing separation degree;Journal of Building Engineering;2024-04

5. An integrated framework for sustainable and efficient building maintenance operations aligning with climate change, SDGs, and emerging technology;Results in Engineering;2024-03

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