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An effective detection and classification of road damages using hybrid deep learning framework

Research article (Multimedia Tools and Applications, 2022) · cited 69× · AI/ML
academia openalex:W4300962841
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An effective detection and classification of road damages using hybrid deep learning framework

Summary

An effective detection and classification of road damages using hybrid deep learning framework is a scholarly article[1].

Key Facts

  • An effective detection and classification of road damages using hybrid deep learning framework's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An effective detection and classification of road damages using hybrid deep learning framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-detection-and-classification-of-road-damages-using-hybrid-deep-learning-framework
MLA “An effective detection and classification of road damages using hybrid deep learning framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-detection-and-classification-of-road-damages-using-hybrid-deep-learning-framework.
BibTeX @misc{4ortxyz_an-effective-detection-and-classification-of-road-damages-using-hybrid-deep-learning-framework_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective detection and classification of road damages using hybrid deep learning framework}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-detection-and-classification-of-road-damages-using-hybrid-deep-learning-framework}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An effective detection and classification of road damages using hybrid deep learning framework — https://4ort.xyz/entity/an-effective-detection-and-classification-of-road-damages-using-hybrid-deep-learning-framework (retrieved 2026-05-24)

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