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Road Drainage System Localisation and Condition Data Capture
作者: M. Gkovedarou ,
I. Brilakis
DOI:
10.1680/ICSIC.64669.043
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参考文章
(6)
1.
Si-Jie Yu, Sreenivas R. Sukumar, Andreas F. Koschan, David L. Page, Mongi A. Abidi,
3D reconstruction of road surfaces using an integrated multi-sensory approach
Optics and Lasers in Engineering.
,vol. 45, pp. 808- 818 ,(2007) ,
10.1016/J.OPTLASENG.2006.12.007
2.
Chih-Fong Tsai,
Bag-of-Words Representation in Image Annotation: A Review
International Scholarly Research Notices.
,vol. 2012, pp. 1- 19 ,(2012) ,
10.5402/2012/376804
3.
G.P. Zhang,
Neural networks for classification: a survey
systems man and cybernetics.
,vol. 30, pp. 451- 462 ,(2000) ,
10.1109/5326.897072
4.
Douglas M. Hawkins,
The problem of overfitting.
Journal of Chemical Information and Computer Sciences.
,vol. 44, pp. 1- 12 ,(2004) ,
10.1021/CI0342472
5.
Behrouz Mataei, Fereidoon Moghadas Nejad, Mohsen Zahedi, Hamzeh Zakeri,
Evaluation of pavement surface drainage using an automated image acquisition and processing system
Automation in Construction.
,vol. 86, pp. 240- 255 ,(2018) ,
10.1016/J.AUTCON.2017.11.010
6.
Alby D Rocha, Thomas A Groen, Andrew K Skidmore, Roshanak Darvishzadeh, Louise Willemen, None,
Machine learning using hyperspectral data inaccurately predicts plant traits under spatial dependency
Remote Sensing.
,vol. 10, pp. 1- 20 ,(2018) ,
10.3390/RS10081263
来源期刊
International Conference on Smart Infrastructure and Construction 2019 (ICSIC)
ICE Publishing
2019 年,
Volume: , Issue: ,
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