Home ›
Entities
› academia
› A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area
A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area
Research article (International Journal of Digital Earth, 2023) · cited 18× · AI/ML
A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area
Summary
A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area is a scholarly article[1].
Key Facts
A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area's instance of is recorded as scholarly article[2].
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). A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-semantic-segmentation-approach-based-on-u-net-wu-net-and-u-net-deep-learning-for-predicting-areas-sensitive-to-p
MLA“A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-semantic-segmentation-approach-based-on-u-net-wu-net-and-u-net-deep-learning-for-predicting-areas-sensitive-to-p.
BibTeX@misc{4ortxyz_a-novel-semantic-segmentation-approach-based-on-u-net-wu-net-and-u-net-deep-learning-for-predicting-areas-sensitive-to-p_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-semantic-segmentation-approach-based-on-u-net-wu-net-and-u-net-deep-learning-for-predicting-areas-sensitive-to-p}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area — https://4ort.xyz/entity/a-novel-semantic-segmentation-approach-based-on-u-net-wu-net-and-u-net-deep-learning-for-predicting-areas-sensitive-to-p (retrieved 2026-05-24)
