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Wildfire Segmentation using Deep-RegSeg Semantic Segmentation Architecture

Research article (International Conference on Content-based Multimedia Indexing, 2022) · cited 10× · AI/ML
academia openalex:W4303444941
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Wildfire Segmentation using Deep-RegSeg Semantic Segmentation Architecture

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Wildfire Segmentation using Deep-RegSeg Semantic Segmentation Architecture is a scholarly article[1].

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  • Wildfire Segmentation using Deep-RegSeg Semantic Segmentation Architecture's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). Wildfire Segmentation using Deep-RegSeg Semantic Segmentation Architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/wildfire-segmentation-using-deep-regseg-semantic-segmentation-architecture
MLA “Wildfire Segmentation using Deep-RegSeg Semantic Segmentation Architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/wildfire-segmentation-using-deep-regseg-semantic-segmentation-architecture.
BibTeX @misc{4ortxyz_wildfire-segmentation-using-deep-regseg-semantic-segmentation-architecture_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Wildfire Segmentation using Deep-RegSeg Semantic Segmentation Architecture}}, year = {2026}, url = {https://4ort.xyz/entity/wildfire-segmentation-using-deep-regseg-semantic-segmentation-architecture}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Wildfire Segmentation using Deep-RegSeg Semantic Segmentation Architecture — https://4ort.xyz/entity/wildfire-segmentation-using-deep-regseg-semantic-segmentation-architecture (retrieved 2026-05-24)

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