نتائج البحث

Automatic detection method of tunnel lining multi‐defects via an enhanced You Only Look Once network.

• Authors : Zhou, Zhong^1,2 (AUTHOR); Zhang, Junjie¹ (AUTHOR); Gong, Chenjie^1,2 (AUTHOR)

• Source: Computer-Aided Civil & Infrastructure Engineering. May2022, Vol. 37 Issue 6, p762-780. 19p.

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Modeling an effectual multi‐section You Only Look Once for enhancing lung cancer prediction.

• Authors : Jena, Sanjukta Rani¹ (AUTHOR); George, Selvaraj Thomas² (AUTHOR) ; Ponraj, Deivendran Narain¹ (AUTHOR)

• Source: International Journal of Imaging Systems & Technology. Dec2021, Vol. 31 Issue 4, p2144-2157. 14p.

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An Improved YOLOX Model for Detecting Strip Surface Defects.

• Authors : Yi, Cancan^1,2,3 (AUTHOR); Xu, Biao^1,2,3 (AUTHOR); Chen, Jun⁴ (AUTHOR)

• Source: Steel Research International. Nov2022, Vol. 93 Issue 11, p1-11. 11p.

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A screening assistance system for cervical cytology of squamous cell atypia based on a two‐step combined CNN algorithm with label smoothing.

• Authors : Nambu, Yuta¹ (AUTHOR); Mariya, Tasuku² (AUTHOR) ; Shinkai, Shota² (AUTHOR)

• Source: Cancer Medicine. Jan2022, Vol. 11 Issue 2, p520-529. 10p.

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Multi‐lingual text detection and identification using agile convolutional neural network.

• Authors : Yegnaraman, Aparna¹ (AUTHOR) ; Valli, S.¹ (AUTHOR)

• Source: Computational Intelligence. Nov2021, Vol. 37 Issue 4, p1803-1826. 24p.

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Real‐time detection of Fusarium infection in moving corn grains using YOLOv5 object detection algorithm.

• Authors : Thangaraj Sundaramurthy, Rathna Priya¹ (AUTHOR); Balasubramanian, Yogameena² (AUTHOR); Annamalai, Manickavasagan¹ (AUTHOR)

Subjects: *OBJECT recognition (Computer vision); *FUSARIOSIS; *CORN

• Source: Journal of Food Process Engineering. Sep2023, Vol. 46 Issue 9, p1-12. 12p.

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A robust real‐time method for identifying hydraulic tunnel structural defects using deep learning and computer vision.

• Authors : Li, Yangtao^1,2 (AUTHOR); Bao, Tengfei^1,2,3 (AUTHOR) ; Li, Tianyu^1,2,4 (AUTHOR)

• Source: Computer-Aided Civil & Infrastructure Engineering. Jul2023, Vol. 38 Issue 10, p1381-1399. 19p.

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Deep learning‐based automatic detection of muck types for earth pressure balance shield tunneling in soft ground.

• Authors : Zhang, Dongming¹ (AUTHOR); Fu, Lei¹ (AUTHOR); Huang, Hongwei¹ (AUTHOR)

• Source: Computer-Aided Civil & Infrastructure Engineering. May2023, Vol. 38 Issue 7, p940-955. 16p.

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Drought stress impact on the performance of deep convolutional neural networks for weed detection in Bahiagrass.

• Authors : Zhuang, Jiayao¹ (AUTHOR); Jin, Xiaojun² (AUTHOR); Chen, Yong² (AUTHOR)

• Source: Grass & Forage Science. Mar2023, Vol. 78 Issue 1, p214-223. 10p.

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Deep learning–based nondestructive evaluation of reinforcement bars using ground‐penetrating radar and electromagnetic induction data.

• Authors : Li, Xiaofeng¹ (AUTHOR); Liu, Hai² (AUTHOR); Zhou, Feng¹ (AUTHOR)

• Source: Computer-Aided Civil & Infrastructure Engineering. Nov2022, Vol. 37 Issue 14, p1834-1853. 20p.

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