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A Real-Time Forest Fire Recognition Method Based on R-shufflenetv2

Research article (2022 5th International Symposium on Autonomous Systems (ISAS), 2022) · cited 10× · AI/ML
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A Real-Time Forest Fire Recognition Method Based on R-shufflenetv2

Summary

A Real-Time Forest Fire Recognition Method Based on R-shufflenetv2 is a scholarly article[1].

Key Facts

  • A Real-Time Forest Fire Recognition Method Based on R-shufflenetv2'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). A Real-Time Forest Fire Recognition Method Based on R-shufflenetv2. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-real-time-forest-fire-recognition-method-based-on-r-shufflenetv2
MLA “A Real-Time Forest Fire Recognition Method Based on R-shufflenetv2.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-real-time-forest-fire-recognition-method-based-on-r-shufflenetv2.
BibTeX @misc{4ortxyz_a-real-time-forest-fire-recognition-method-based-on-r-shufflenetv2_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Real-Time Forest Fire Recognition Method Based on R-shufflenetv2}}, year = {2026}, url = {https://4ort.xyz/entity/a-real-time-forest-fire-recognition-method-based-on-r-shufflenetv2}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Real-Time Forest Fire Recognition Method Based on R-shufflenetv2 — https://4ort.xyz/entity/a-real-time-forest-fire-recognition-method-based-on-r-shufflenetv2 (retrieved 2026-05-24)

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