Automation detection of asphalt pavement bleeding for imbalanced datasets using an anomaly detection approach-Reference-Cited by-同舟云学术

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Automation detection of asphalt pavement bleeding for imbalanced datasets using an anomaly detection approach

Published:2024-08 Issue: Volume:235 Page:114987
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Daneshvari Mohammad Hassan,Mojaradi Barat^ORCID,Ameri Mahmoud,Nourmohammadi Ebrahim^ORCID

Publisher

Elsevier BV

Reference84 articles.

1. Pavement Management for Airports, Roads, and Parking Lots;Shahin,2006

2. Deep convolutional neural networks with transfer learning for computer vision-based data-driven pavement distress detection;Gopalakrishnan;Constr. Build. Mater.,2017

3. Automatic pavement-crack detection and segmentation based on steerable matched filtering and an active contour model;Li;J. Comput. Civ. Eng.,2017

4. Intelligent decision model of road maintenance based on improved weight random forest algorithm;Han;Int. J. Pavement Eng.,2022

5. Automatic pavement rutting measurement by fusing a high speed-shot camera and a linear laser;Arezoumand;Constr. Build. Mater.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid texture analysis of 2D images for detecting asphalt pavement bleeding and raveling using tree-based ensemble methods;Alexandria Engineering Journal;2024-11

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