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Flood or Non-Flooded: A Comparative Study of State-of-the-Art Models for Flood Image Classification Using the FloodNet Dataset with Uncertainty Offset Analysis
Research article (Water, 2023) · cited 20× · AI/ML
Flood or Non-Flooded: A Comparative Study of State-of-the-Art Models for Flood Image Classification Using the FloodNet Dataset with Uncertainty Offset Analysis
Summary
Flood or Non-Flooded: A Comparative Study of State-of-the-Art Models for Flood Image Classification Using the FloodNet Dataset with Uncertainty Offset Analysis is a scholarly article[1].
Key Facts
Flood or Non-Flooded: A Comparative Study of State-of-the-Art Models for Flood Image Classification Using the FloodNet Dataset with Uncertainty Offset Analysis'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). Flood or Non-Flooded: A Comparative Study of State-of-the-Art Models for Flood Image Classification Using the FloodNet Dataset with Uncertainty Offset Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/flood-or-non-flooded-a-comparative-study-of-state-of-the-art-models-for-flood-image-classification-using-the-floodnet-da
MLA“Flood or Non-Flooded: A Comparative Study of State-of-the-Art Models for Flood Image Classification Using the FloodNet Dataset with Uncertainty Offset Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/flood-or-non-flooded-a-comparative-study-of-state-of-the-art-models-for-flood-image-classification-using-the-floodnet-da.
BibTeX@misc{4ortxyz_flood-or-non-flooded-a-comparative-study-of-state-of-the-art-models-for-flood-image-classification-using-the-floodnet-da_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Flood or Non-Flooded: A Comparative Study of State-of-the-Art Models for Flood Image Classification Using the FloodNet Dataset with Uncertainty Offset Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/flood-or-non-flooded-a-comparative-study-of-state-of-the-art-models-for-flood-image-classification-using-the-floodnet-da}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Flood or Non-Flooded: A Comparative Study of State-of-the-Art Models for Flood Image Classification Using the FloodNet Dataset with Uncertainty Offset Analysis — https://4ort.xyz/entity/flood-or-non-flooded-a-comparative-study-of-state-of-the-art-models-for-flood-image-classification-using-the-floodnet-da (retrieved 2026-05-24)
