Advancing fire detection: two-stage deep learning with hybrid feature extraction using faster R-CNN approach
Summary
Advancing fire detection: two-stage deep learning with hybrid feature extraction using faster R-CNN approach is a scholarly article[1].
Key Facts
Advancing fire detection: two-stage deep learning with hybrid feature extraction using faster R-CNN approach's instance of is recorded as scholarly article[2].
References
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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). Advancing fire detection: two-stage deep learning with hybrid feature extraction using faster R-CNN approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/advancing-fire-detection-two-stage-deep-learning-with-hybrid-feature-extraction-using-faster-r-cnn-approach
MLA“Advancing fire detection: two-stage deep learning with hybrid feature extraction using faster R-CNN approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advancing-fire-detection-two-stage-deep-learning-with-hybrid-feature-extraction-using-faster-r-cnn-approach.
BibTeX@misc{4ortxyz_advancing-fire-detection-two-stage-deep-learning-with-hybrid-feature-extraction-using-faster-r-cnn-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advancing fire detection: two-stage deep learning with hybrid feature extraction using faster R-CNN approach}}, year = {2026}, url = {https://4ort.xyz/entity/advancing-fire-detection-two-stage-deep-learning-with-hybrid-feature-extraction-using-faster-r-cnn-approach}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advancing fire detection: two-stage deep learning with hybrid feature extraction using faster R-CNN approach — https://4ort.xyz/entity/advancing-fire-detection-two-stage-deep-learning-with-hybrid-feature-extraction-using-faster-r-cnn-approach (retrieved 2026-05-24)
