Home ›
Entities
› academia
› AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction
AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction
Research article (Remote Sensing, 2022) · cited 10× · AI/ML
AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction
Summary
AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction is a scholarly article[1].
Key Facts
AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/af-srnet-quantitative-precipitation-forecasting-model-based-on-attention-fusion-mechanism-and-residual-spatiotemporal-fe
MLA“AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/af-srnet-quantitative-precipitation-forecasting-model-based-on-attention-fusion-mechanism-and-residual-spatiotemporal-fe.
BibTeX@misc{4ortxyz_af-srnet-quantitative-precipitation-forecasting-model-based-on-attention-fusion-mechanism-and-residual-spatiotemporal-fe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction}}, year = {2026}, url = {https://4ort.xyz/entity/af-srnet-quantitative-precipitation-forecasting-model-based-on-attention-fusion-mechanism-and-residual-spatiotemporal-fe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AF-SRNet: Quantitative Precipitation Forecasting Model Based on Attention Fusion Mechanism and Residual Spatiotemporal Feature Extraction — https://4ort.xyz/entity/af-srnet-quantitative-precipitation-forecasting-model-based-on-attention-fusion-mechanism-and-residual-spatiotemporal-fe (retrieved 2026-05-24)
