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). ATT Squeeze U-Net: A Lightweight Network for Forest Fire Detection and Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/att-squeeze-u-net-a-lightweight-network-for-forest-fire-detection-and-recognition
MLA“ATT Squeeze U-Net: A Lightweight Network for Forest Fire Detection and Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/att-squeeze-u-net-a-lightweight-network-for-forest-fire-detection-and-recognition.
BibTeX@misc{4ortxyz_att-squeeze-u-net-a-lightweight-network-for-forest-fire-detection-and-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ATT Squeeze U-Net: A Lightweight Network for Forest Fire Detection and Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/att-squeeze-u-net-a-lightweight-network-for-forest-fire-detection-and-recognition}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ATT Squeeze U-Net: A Lightweight Network for Forest Fire Detection and Recognition — https://4ort.xyz/entity/att-squeeze-u-net-a-lightweight-network-for-forest-fire-detection-and-recognition (retrieved 2026-05-24)
