YOLOv8 for Fire and Smoke Recognition Algorithm Integrated with the Convolutional Block Attention Module
Summary
YOLOv8 for Fire and Smoke Recognition Algorithm Integrated with the Convolutional Block Attention Module is a scholarly article[1].
Key Facts
YOLOv8 for Fire and Smoke Recognition Algorithm Integrated with the Convolutional Block Attention Module'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). YOLOv8 for Fire and Smoke Recognition Algorithm Integrated with the Convolutional Block Attention Module. Retrieved May 24, 2026, from https://4ort.xyz/entity/yolov8-for-fire-and-smoke-recognition-algorithm-integrated-with-the-convolutional-block-attention-module
MLA“YOLOv8 for Fire and Smoke Recognition Algorithm Integrated with the Convolutional Block Attention Module.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/yolov8-for-fire-and-smoke-recognition-algorithm-integrated-with-the-convolutional-block-attention-module.
BibTeX@misc{4ortxyz_yolov8-for-fire-and-smoke-recognition-algorithm-integrated-with-the-convolutional-block-attention-module_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{YOLOv8 for Fire and Smoke Recognition Algorithm Integrated with the Convolutional Block Attention Module}}, year = {2026}, url = {https://4ort.xyz/entity/yolov8-for-fire-and-smoke-recognition-algorithm-integrated-with-the-convolutional-block-attention-module}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): YOLOv8 for Fire and Smoke Recognition Algorithm Integrated with the Convolutional Block Attention Module — https://4ort.xyz/entity/yolov8-for-fire-and-smoke-recognition-algorithm-integrated-with-the-convolutional-block-attention-module (retrieved 2026-05-24)
