Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada
Summary
Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada is a scholarly article[1].
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Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada. Retrieved May 24, 2026, from https://4ort.xyz/entity/pavement-distress-detection-using-convolutional-neural-network-cnn-a-case-study-in-montreal-canada
MLA“Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pavement-distress-detection-using-convolutional-neural-network-cnn-a-case-study-in-montreal-canada.
BibTeX@misc{4ortxyz_pavement-distress-detection-using-convolutional-neural-network-cnn-a-case-study-in-montreal-canada_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada}}, year = {2026}, url = {https://4ort.xyz/entity/pavement-distress-detection-using-convolutional-neural-network-cnn-a-case-study-in-montreal-canada}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada — https://4ort.xyz/entity/pavement-distress-detection-using-convolutional-neural-network-cnn-a-case-study-in-montreal-canada (retrieved 2026-05-24)
