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Ensemble-based approach using inception V2, VGG-16, and Xception convolutional neural networks for surface cracks detection
Research article (Journal of Applied Research and Technology, 2024) · cited 12× · AI/ML
Ensemble-based approach using inception V2, VGG-16, and Xception convolutional neural networks for surface cracks detection
Summary
Ensemble-based approach using inception V2, VGG-16, and Xception convolutional neural networks for surface cracks detection is a scholarly article[1].
Key Facts
Ensemble-based approach using inception V2, VGG-16, and Xception convolutional neural networks for surface cracks detection'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). Ensemble-based approach using inception V2, VGG-16, and Xception convolutional neural networks for surface cracks detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/ensemble-based-approach-using-inception-v2-vgg-16-and-xception-convolutional-neural-networks-for-surface-cracks-detectio
MLA“Ensemble-based approach using inception V2, VGG-16, and Xception convolutional neural networks for surface cracks detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ensemble-based-approach-using-inception-v2-vgg-16-and-xception-convolutional-neural-networks-for-surface-cracks-detectio.
BibTeX@misc{4ortxyz_ensemble-based-approach-using-inception-v2-vgg-16-and-xception-convolutional-neural-networks-for-surface-cracks-detectio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ensemble-based approach using inception V2, VGG-16, and Xception convolutional neural networks for surface cracks detection}}, year = {2026}, url = {https://4ort.xyz/entity/ensemble-based-approach-using-inception-v2-vgg-16-and-xception-convolutional-neural-networks-for-surface-cracks-detectio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ensemble-based approach using inception V2, VGG-16, and Xception convolutional neural networks for surface cracks detection — https://4ort.xyz/entity/ensemble-based-approach-using-inception-v2-vgg-16-and-xception-convolutional-neural-networks-for-surface-cracks-detectio (retrieved 2026-05-24)
