Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386072216> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W4386072216 abstract "The capability to identify and authenticate electronic devices through their physical intrinsic features has received considerable attention by the research community in recent years. This capability has been called in literature Specific emitter identification, radiometric identification or RF-DNA as a conceptual link to the physical identification of human being through the DNA. As in other fields of wireless communication, deep learning has been applied to implement such capability, where it has proven an excellent performance at the cost of the need of significant computing resources and time. To address the latter problem, this paper proposes a set of pre-processing steps based on time series segmentation, feature extraction and Principal Component Analysis (PCA) to reduce the data dimension given as an input to a Convolutional Neural Network (CNN) for classification. The proposed approach is able not only to reduce significantly the overall classification time, but it is also able to improve the classification accuracy in presence of noise in comparison to the baseline case where all the data is used." @default.
- W4386072216 created "2023-08-23" @default.
- W4386072216 creator A5006463391 @default.
- W4386072216 creator A5021380730 @default.
- W4386072216 date "2023-07-25" @default.
- W4386072216 modified "2023-09-27" @default.
- W4386072216 title "Specific Emitter Identification with Principal Component Analysis (PCA) Dimensionality Reduction and Convolutional Neural Network" @default.
- W4386072216 cites W1874399837 @default.
- W4386072216 cites W2073892852 @default.
- W4386072216 cites W2606332932 @default.
- W4386072216 cites W2794805176 @default.
- W4386072216 cites W2901774292 @default.
- W4386072216 cites W2913860854 @default.
- W4386072216 cites W2964138953 @default.
- W4386072216 cites W2982551208 @default.
- W4386072216 cites W2984025449 @default.
- W4386072216 cites W3009545797 @default.
- W4386072216 cites W3036866579 @default.
- W4386072216 cites W3100974552 @default.
- W4386072216 cites W3154667606 @default.
- W4386072216 cites W3206629225 @default.
- W4386072216 cites W4308655556 @default.
- W4386072216 doi "https://doi.org/10.1109/smartnets58706.2023.10215809" @default.
- W4386072216 hasPublicationYear "2023" @default.
- W4386072216 type Work @default.
- W4386072216 citedByCount "0" @default.
- W4386072216 crossrefType "proceedings-article" @default.
- W4386072216 hasAuthorship W4386072216A5006463391 @default.
- W4386072216 hasAuthorship W4386072216A5021380730 @default.
- W4386072216 hasConcept C116834253 @default.
- W4386072216 hasConcept C119857082 @default.
- W4386072216 hasConcept C124101348 @default.
- W4386072216 hasConcept C153180895 @default.
- W4386072216 hasConcept C154945302 @default.
- W4386072216 hasConcept C27438332 @default.
- W4386072216 hasConcept C41008148 @default.
- W4386072216 hasConcept C50644808 @default.
- W4386072216 hasConcept C52622490 @default.
- W4386072216 hasConcept C59822182 @default.
- W4386072216 hasConcept C70518039 @default.
- W4386072216 hasConcept C81363708 @default.
- W4386072216 hasConcept C86803240 @default.
- W4386072216 hasConcept C89600930 @default.
- W4386072216 hasConceptScore W4386072216C116834253 @default.
- W4386072216 hasConceptScore W4386072216C119857082 @default.
- W4386072216 hasConceptScore W4386072216C124101348 @default.
- W4386072216 hasConceptScore W4386072216C153180895 @default.
- W4386072216 hasConceptScore W4386072216C154945302 @default.
- W4386072216 hasConceptScore W4386072216C27438332 @default.
- W4386072216 hasConceptScore W4386072216C41008148 @default.
- W4386072216 hasConceptScore W4386072216C50644808 @default.
- W4386072216 hasConceptScore W4386072216C52622490 @default.
- W4386072216 hasConceptScore W4386072216C59822182 @default.
- W4386072216 hasConceptScore W4386072216C70518039 @default.
- W4386072216 hasConceptScore W4386072216C81363708 @default.
- W4386072216 hasConceptScore W4386072216C86803240 @default.
- W4386072216 hasConceptScore W4386072216C89600930 @default.
- W4386072216 hasLocation W43860722161 @default.
- W4386072216 hasOpenAccess W4386072216 @default.
- W4386072216 hasPrimaryLocation W43860722161 @default.
- W4386072216 hasRelatedWork W1585144779 @default.
- W4386072216 hasRelatedWork W2091080939 @default.
- W4386072216 hasRelatedWork W2150085486 @default.
- W4386072216 hasRelatedWork W2169954946 @default.
- W4386072216 hasRelatedWork W2348666600 @default.
- W4386072216 hasRelatedWork W2373052636 @default.
- W4386072216 hasRelatedWork W2392812607 @default.
- W4386072216 hasRelatedWork W2541997129 @default.
- W4386072216 hasRelatedWork W3154145980 @default.
- W4386072216 hasRelatedWork W4384695349 @default.
- W4386072216 isParatext "false" @default.
- W4386072216 isRetracted "false" @default.
- W4386072216 workType "article" @default.