Source: Canadian Journal of Civil Engineering. 2022, Vol. 49 Issue 4, p569-578. 10p. 3 Color Photographs, 2 Black and White Photographs, 2 Diagrams, 5 Charts.

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Crack grid detection and calculation based on convolutional neural network.

Authors : Xiao, Liyang¹; Li, Wei² ; Huyan, Ju³

Source: Canadian Journal of Civil Engineering. 2021, Vol. 48 Issue 9, p1192-1205. 14p.

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The future of fish age estimation: deep machine learning coupled with Fourier transform near-infrared spectroscopy of otoliths.

Authors : Benson, Irina M. ; Helser, Thomas E.; Marchetti, Giovanni

Source: Canadian Journal of Fisheries & Aquatic Sciences. 2023, Vol. 80 Issue 9, p1482-1494. 13p.

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An adaptive machine learning framework for multi-scenes road surface weather condition monitoring.

Authors : Zhou, Xinhao¹ (AUTHOR); Zhao, Lin¹ (AUTHOR); Liu, Zhaodong¹ (AUTHOR)

Source: Canadian Journal of Civil Engineering. 2024, Vol. 51 Issue 9, p954-965. 12p.

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Pavement freezing depth estimation using hybrid deep-learning models.

Authors : Roh, Seunghyun¹; Yami, Yonathan Alemu¹; Hwang, Hyunsik²

Source: Canadian Journal of Civil Engineering. 2024, Vol. 51 Issue 4, p423-433. 11p.

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Transfer learning graph representations of molecules for pKa, 13C-NMR, and solubility.

Authors : El-Samman, A.M.¹ ; De Castro, S.¹; Morton, B.¹

Source: Canadian Journal of Chemistry. 2024, Vol. 102 Issue 4, p275-288. 14p.

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Digital holography for real-time non-invasive monitoring of larval fish at power plant intakes.

Authors : Sanborn, Delaney; Base, Alexis; Garavelli, Lysel

Source: Canadian Journal of Fisheries & Aquatic Sciences. 2023, Vol. 80 Issue 9, p1470-1481. 12p.

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Feature representation improved Faster R-CNN model for high-efficiency pavement crack detection.

Authors : Zhai, Junzhi; Sun, Zhaoyun; Huyan, Ju

Source: Canadian Journal of Civil Engineering. 2023, Vol. 50 Issue 2, p114-125. 12p.

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Classification of surface pavement cracks as top-down, bottom-up, and cement-treated reflective cracking based on deep learning methods.

Authors : Dhakal, Nirmal¹; Elseifi, Mostafa A.² ; Zihan, Zia U.A.^1,3

Source: Canadian Journal of Civil Engineering. 2022, Vol. 49 Issue 4, p644-656. 13p. 7 Color Photographs, 3 Diagrams.

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Crack detection and crack segmentation in concrete beams undergoing mode I fracture using computer vision and convolutional neural network.

Winter road surface condition classification using convolutional neural network (CNN): visible light and thermal image fusion.

Crack grid detection and calculation based on convolutional neural network.

The future of fish age estimation: deep machine learning coupled with Fourier transform near-infrared spectroscopy of otoliths.

An adaptive machine learning framework for multi-scenes road surface weather condition monitoring.

Pavement freezing depth estimation using hybrid deep-learning models.

Transfer learning graph representations of molecules for pKa, 13C-NMR, and solubility.

Digital holography for real-time non-invasive monitoring of larval fish at power plant intakes.

Feature representation improved Faster R-CNN model for high-efficiency pavement crack detection.

Classification of surface pavement cracks as top-down, bottom-up, and cement-treated reflective cracking based on deep learning methods.

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