المؤلفون: Dong, J., Li, Z., Wang, Z., Wang, N., Guo, W., Ma, D., Hu, H., Zhong, S.

المصدر: IEEE Access Access, IEEE. 9:143860-143876 2021

المؤلفون: Benedetto, A., Tosti, F., Pajewski, L., D'Amico, F., Kusayanagi, W.

المصدر: Proceedings of the 15th International Conference on Ground Penetrating Radar Ground Penetrating Radar (GPR), 2014 15th International Conference on. :513-518 Jun, 2014

Relation: 2014 15th International Conference on Ground Penetrating Radar (GPR)

المؤلفون: Jiaxiu Dong, Zhaonan Li, Zibin Wang, Niannian Wang, Wentong Guo, Duo Ma, Haobang Hu, Shan Zhong

المصدر: IEEE Access, Vol 9, Pp 143860-143876 (2021)

مصطلحات موضوعية: Mobile deep learning, road-mask R-CNN, pavement damages, smartphones, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9580900/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/22cfe7937a4541329e312c96559a9d94

المؤلفون: Shan Zhong, Zibin Wang, Zhaonan Li, Wang Niannian, Wentong Guo, Haobang Hu, Dong Jiaxiu, Duo Ma

المصدر: IEEE Access, Vol 9, Pp 143860-143876 (2021)

مصطلحات موضوعية: General Computer Science, Pixel, Computer science, Intersection (set theory), business.industry, Deep learning, pavement damages, Feature extraction, General Engineering, Pattern recognition, Image segmentation, Convolutional neural network, road-mask R-CNN, smartphones, TK1-9971, Mobile deep learning, General Materials Science, Segmentation, Artificial intelligence, Electrical engineering. Electronics. Nuclear engineering, Cluster analysis, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16812bd642f46e46e88dd8ca931f882d
https://ieeexplore.ieee.org/document/9580900/

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