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IUNet-IF: identification of construction waste using unmanned aerial vehicle remote sensing and multi-layer deep learning methods
Research article (International Journal of Remote Sensing, 2022) · cited 15× · AI/ML
IUNet-IF: identification of construction waste using unmanned aerial vehicle remote sensing and multi-layer deep learning methods
Summary
IUNet-IF: identification of construction waste using unmanned aerial vehicle remote sensing and multi-layer deep learning methods is a scholarly article[1].
Key Facts
IUNet-IF: identification of construction waste using unmanned aerial vehicle remote sensing and multi-layer deep learning methods'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). IUNet-IF: identification of construction waste using unmanned aerial vehicle remote sensing and multi-layer deep learning methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/iunet-if-identification-of-construction-waste-using-unmanned-aerial-vehicle-remote-sensing-and-multi-layer-deep-learning
MLA“IUNet-IF: identification of construction waste using unmanned aerial vehicle remote sensing and multi-layer deep learning methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/iunet-if-identification-of-construction-waste-using-unmanned-aerial-vehicle-remote-sensing-and-multi-layer-deep-learning.
BibTeX@misc{4ortxyz_iunet-if-identification-of-construction-waste-using-unmanned-aerial-vehicle-remote-sensing-and-multi-layer-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{IUNet-IF: identification of construction waste using unmanned aerial vehicle remote sensing and multi-layer deep learning methods}}, year = {2026}, url = {https://4ort.xyz/entity/iunet-if-identification-of-construction-waste-using-unmanned-aerial-vehicle-remote-sensing-and-multi-layer-deep-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): IUNet-IF: identification of construction waste using unmanned aerial vehicle remote sensing and multi-layer deep learning methods — https://4ort.xyz/entity/iunet-if-identification-of-construction-waste-using-unmanned-aerial-vehicle-remote-sensing-and-multi-layer-deep-learning (retrieved 2026-05-24)
