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Improved sports image classification using deep neural network and novel tuna swarm optimization

Research article (Scientific Reports, 2024) · cited 13× · AI/ML
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Improved sports image classification using deep neural network and novel tuna swarm optimization

Summary

Improved sports image classification using deep neural network and novel tuna swarm optimization is a scholarly article[1].

Key Facts

  • Improved sports image classification using deep neural network and novel tuna swarm optimization'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). Improved sports image classification using deep neural network and novel tuna swarm optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/improved-sports-image-classification-using-deep-neural-network-and-novel-tuna-swarm-optimization
MLA “Improved sports image classification using deep neural network and novel tuna swarm optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improved-sports-image-classification-using-deep-neural-network-and-novel-tuna-swarm-optimization.
BibTeX @misc{4ortxyz_improved-sports-image-classification-using-deep-neural-network-and-novel-tuna-swarm-optimization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improved sports image classification using deep neural network and novel tuna swarm optimization}}, year = {2026}, url = {https://4ort.xyz/entity/improved-sports-image-classification-using-deep-neural-network-and-novel-tuna-swarm-optimization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improved sports image classification using deep neural network and novel tuna swarm optimization — https://4ort.xyz/entity/improved-sports-image-classification-using-deep-neural-network-and-novel-tuna-swarm-optimization (retrieved 2026-05-24)

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