ReCoN: A Reconfigurable CNN Acceleration Framework for Hybrid Semantic Segmentation on Hybrid SoCs for Space Applications
Summary
ReCoN: A Reconfigurable CNN Acceleration Framework for Hybrid Semantic Segmentation on Hybrid SoCs for Space Applications is a scholarly article[1].
Key Facts
ReCoN: A Reconfigurable CNN Acceleration Framework for Hybrid Semantic Segmentation on Hybrid SoCs for Space Applications's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). ReCoN: A Reconfigurable CNN Acceleration Framework for Hybrid Semantic Segmentation on Hybrid SoCs for Space Applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/recon-a-reconfigurable-cnn-acceleration-framework-for-hybrid-semantic-segmentation-on-hybrid-socs-for-space-applications
MLA“ReCoN: A Reconfigurable CNN Acceleration Framework for Hybrid Semantic Segmentation on Hybrid SoCs for Space Applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recon-a-reconfigurable-cnn-acceleration-framework-for-hybrid-semantic-segmentation-on-hybrid-socs-for-space-applications.
BibTeX@misc{4ortxyz_recon-a-reconfigurable-cnn-acceleration-framework-for-hybrid-semantic-segmentation-on-hybrid-socs-for-space-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ReCoN: A Reconfigurable CNN Acceleration Framework for Hybrid Semantic Segmentation on Hybrid SoCs for Space Applications}}, year = {2026}, url = {https://4ort.xyz/entity/recon-a-reconfigurable-cnn-acceleration-framework-for-hybrid-semantic-segmentation-on-hybrid-socs-for-space-applications}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ReCoN: A Reconfigurable CNN Acceleration Framework for Hybrid Semantic Segmentation on Hybrid SoCs for Space Applications — https://4ort.xyz/entity/recon-a-reconfigurable-cnn-acceleration-framework-for-hybrid-semantic-segmentation-on-hybrid-socs-for-space-applications (retrieved 2026-05-24)
