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SAR image super-resolution using deep residual SqueezeNet
Research article (Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing, 2019) · cited 12× · AI/ML
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). SAR image super-resolution using deep residual SqueezeNet. Retrieved May 24, 2026, from https://4ort.xyz/entity/sar-image-super-resolution-using-deep-residual-squeezenet
MLA“SAR image super-resolution using deep residual SqueezeNet.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sar-image-super-resolution-using-deep-residual-squeezenet.
BibTeX@misc{4ortxyz_sar-image-super-resolution-using-deep-residual-squeezenet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SAR image super-resolution using deep residual SqueezeNet}}, year = {2026}, url = {https://4ort.xyz/entity/sar-image-super-resolution-using-deep-residual-squeezenet}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SAR image super-resolution using deep residual SqueezeNet — https://4ort.xyz/entity/sar-image-super-resolution-using-deep-residual-squeezenet (retrieved 2026-05-24)