Deep Learning optimization in remote sensing image segmentation using dilated convolutions and ShuffleNet is a scholarly article[1].
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Deep Learning optimization in remote sensing image segmentation using dilated convolutions and ShuffleNet's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep Learning optimization in remote sensing image segmentation using dilated convolutions and ShuffleNet. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-optimization-in-remote-sensing-image-segmentation-using-dilated-convolutions-and-shufflenet
MLA“Deep Learning optimization in remote sensing image segmentation using dilated convolutions and ShuffleNet.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-optimization-in-remote-sensing-image-segmentation-using-dilated-convolutions-and-shufflenet.
BibTeX@misc{4ortxyz_deep-learning-optimization-in-remote-sensing-image-segmentation-using-dilated-convolutions-and-shufflenet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning optimization in remote sensing image segmentation using dilated convolutions and ShuffleNet}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-optimization-in-remote-sensing-image-segmentation-using-dilated-convolutions-and-shufflenet}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning optimization in remote sensing image segmentation using dilated convolutions and ShuffleNet — https://4ort.xyz/entity/deep-learning-optimization-in-remote-sensing-image-segmentation-using-dilated-convolutions-and-shufflenet (retrieved 2026-05-24)
