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DLASE: A light-weight framework supporting Deep Learning for Edge Devices
Research article (2020 4th International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom), 2020) · cited 13× · 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). DLASE: A light-weight framework supporting Deep Learning for Edge Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/dlase-a-light-weight-framework-supporting-deep-learning-for-edge-devices
MLA“DLASE: A light-weight framework supporting Deep Learning for Edge Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dlase-a-light-weight-framework-supporting-deep-learning-for-edge-devices.
BibTeX@misc{4ortxyz_dlase-a-light-weight-framework-supporting-deep-learning-for-edge-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DLASE: A light-weight framework supporting Deep Learning for Edge Devices}}, year = {2026}, url = {https://4ort.xyz/entity/dlase-a-light-weight-framework-supporting-deep-learning-for-edge-devices}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DLASE: A light-weight framework supporting Deep Learning for Edge Devices — https://4ort.xyz/entity/dlase-a-light-weight-framework-supporting-deep-learning-for-edge-devices (retrieved 2026-05-24)
