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Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source
Research article (Scientific Reports, 2022) · cited 35× · AI/ML
Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source
Summary
Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source is a scholarly article[1].
Key Facts
Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source'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). Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source. Retrieved May 24, 2026, from https://4ort.xyz/entity/novel-deep-learning-hybrid-models-cnn-gru-and-dldl-rf-for-the-susceptibility-classification-of-dust-sources-in-the-middl
MLA“Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/novel-deep-learning-hybrid-models-cnn-gru-and-dldl-rf-for-the-susceptibility-classification-of-dust-sources-in-the-middl.
BibTeX@misc{4ortxyz_novel-deep-learning-hybrid-models-cnn-gru-and-dldl-rf-for-the-susceptibility-classification-of-dust-sources-in-the-middl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source}}, year = {2026}, url = {https://4ort.xyz/entity/novel-deep-learning-hybrid-models-cnn-gru-and-dldl-rf-for-the-susceptibility-classification-of-dust-sources-in-the-middl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source — https://4ort.xyz/entity/novel-deep-learning-hybrid-models-cnn-gru-and-dldl-rf-for-the-susceptibility-classification-of-dust-sources-in-the-middl (retrieved 2026-05-24)
