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Image quality and super resolution effects on object recognition using deep neural networks

Research article (Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 2019) · cited 23× · AI/ML
academia openalex:W2946217260
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Image quality and super resolution effects on object recognition using deep neural networks

Summary

Image quality and super resolution effects on object recognition using deep neural networks is a scholarly article[1].

Key Facts

  • Image quality and super resolution effects on object recognition using deep neural networks's instance of is recorded as scholarly article[2].

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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). Image quality and super resolution effects on object recognition using deep neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/image-quality-and-super-resolution-effects-on-object-recognition-using-deep-neural-networks
MLA “Image quality and super resolution effects on object recognition using deep neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-quality-and-super-resolution-effects-on-object-recognition-using-deep-neural-networks.
BibTeX @misc{4ortxyz_image-quality-and-super-resolution-effects-on-object-recognition-using-deep-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image quality and super resolution effects on object recognition using deep neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/image-quality-and-super-resolution-effects-on-object-recognition-using-deep-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image quality and super resolution effects on object recognition using deep neural networks — https://4ort.xyz/entity/image-quality-and-super-resolution-effects-on-object-recognition-using-deep-neural-networks (retrieved 2026-05-24)

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