FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280520421> ?p ?o ?g. }

• W4280520421 abstract "Beyond data communications, commercial-off-the-shelf Wi-Fi devices can be used to monitor human activities, track device locomotion, and sense the ambient environment. In particular, spatial beam attributes that are inherently available in the 60-GHz IEEE 802.11ad/ay standards have shown to be effective in terms of overhead and channel measurement granularity for these indoor sensing tasks. In this paper, we investigate transfer learning to mitigate domain shift in human monitoring tasks when Wi-Fi settings and environments change over time. As a proof-of-concept study, we consider quantum neural networks (QNN) as well as classical deep neural networks (DNN) for the future quantum-ready society. The effectiveness of both DNN and QNN is validated by an in-house experiment for human pose recognition, achieving greater than 90% accuracy with a limited data size." @default.
• W4280520421 created "2022-05-22" @default.
• W4280520421 creator A5023338067 @default.
• W4280520421 creator A5040899817 @default.
• W4280520421 creator A5065592637 @default.
• W4280520421 date "2022-05-16" @default.
• W4280520421 modified "2023-10-16" @default.
• W4280520421 title "Quantum Transfer Learning for Wi-Fi Sensing" @default.
• W4280520421 cites W1891910822 @default.
• W4280520421 cites W2007787077 @default.
• W4280520421 cites W2016549506 @default.
• W4280520421 cites W2103956991 @default.
• W4280520421 cites W2527142536 @default.
• W4280520421 cites W2539677907 @default.
• W4280520421 cites W2611540227 @default.
• W4280520421 cites W2749809371 @default.
• W4280520421 cites W2755255888 @default.
• W4280520421 cites W2786808285 @default.
• W4280520421 cites W2788518751 @default.
• W4280520421 cites W2794444783 @default.
• W4280520421 cites W2796293949 @default.
• W4280520421 cites W2798945316 @default.
• W4280520421 cites W2798967590 @default.
• W4280520421 cites W2799062425 @default.
• W4280520421 cites W2809191403 @default.
• W4280520421 cites W2827033964 @default.
• W4280520421 cites W2886933259 @default.
• W4280520421 cites W2888228864 @default.
• W4280520421 cites W2903221501 @default.
• W4280520421 cites W2929612105 @default.
• W4280520421 cites W2938514801 @default.
• W4280520421 cites W2947173962 @default.
• W4280520421 cites W2949860773 @default.
• W4280520421 cites W2952065976 @default.
• W4280520421 cites W2963809228 @default.
• W4280520421 cites W2977042651 @default.
• W4280520421 cites W2979856235 @default.
• W4280520421 cites W2981892815 @default.
• W4280520421 cites W2995742898 @default.
• W4280520421 cites W2996856852 @default.
• W4280520421 cites W3007475506 @default.
• W4280520421 cites W3009202881 @default.
• W4280520421 cites W3009570630 @default.
• W4280520421 cites W3010023800 @default.
• W4280520421 cites W3010205642 @default.
• W4280520421 cites W3021587713 @default.
• W4280520421 cites W3022862112 @default.
• W4280520421 cites W3098599423 @default.
• W4280520421 cites W3101479050 @default.
• W4280520421 cites W3104022488 @default.
• W4280520421 cites W3105870134 @default.
• W4280520421 cites W3106367563 @default.
• W4280520421 cites W3110594610 @default.
• W4280520421 cites W3129252918 @default.
• W4280520421 cites W3134524169 @default.
• W4280520421 cites W3136233239 @default.
• W4280520421 cites W4253510307 @default.
• W4280520421 doi "https://doi.org/10.1109/icc45855.2022.9839011" @default.
• W4280520421 hasPublicationYear "2022" @default.
• W4280520421 type Work @default.
• W4280520421 citedByCount "3" @default.
• W4280520421 countsByYear W42805204212022 @default.
• W4280520421 countsByYear W42805204212023 @default.
• W4280520421 crossrefType "proceedings-article" @default.
• W4280520421 hasAuthorship W4280520421A5023338067 @default.
• W4280520421 hasAuthorship W4280520421A5040899817 @default.
• W4280520421 hasAuthorship W4280520421A5065592637 @default.
• W4280520421 hasBestOaLocation W42805204212 @default.
• W4280520421 hasConcept C107457646 @default.
• W4280520421 hasConcept C108583219 @default.
• W4280520421 hasConcept C111919701 @default.
• W4280520421 hasConcept C121332964 @default.
• W4280520421 hasConcept C127162648 @default.
• W4280520421 hasConcept C134306372 @default.
• W4280520421 hasConcept C150899416 @default.
• W4280520421 hasConcept C154945302 @default.
• W4280520421 hasConcept C173608175 @default.
• W4280520421 hasConcept C177774035 @default.
• W4280520421 hasConcept C2776175482 @default.
• W4280520421 hasConcept C2779960059 @default.
• W4280520421 hasConcept C33923547 @default.
• W4280520421 hasConcept C36503486 @default.
• W4280520421 hasConcept C41008148 @default.
• W4280520421 hasConcept C50644808 @default.
• W4280520421 hasConcept C62520636 @default.
• W4280520421 hasConcept C76155785 @default.
• W4280520421 hasConcept C84114770 @default.
• W4280520421 hasConceptScore W4280520421C107457646 @default.
• W4280520421 hasConceptScore W4280520421C108583219 @default.
• W4280520421 hasConceptScore W4280520421C111919701 @default.
• W4280520421 hasConceptScore W4280520421C121332964 @default.
• W4280520421 hasConceptScore W4280520421C127162648 @default.
• W4280520421 hasConceptScore W4280520421C134306372 @default.
• W4280520421 hasConceptScore W4280520421C150899416 @default.
• W4280520421 hasConceptScore W4280520421C154945302 @default.
• W4280520421 hasConceptScore W4280520421C173608175 @default.
• W4280520421 hasConceptScore W4280520421C177774035 @default.
• W4280520421 hasConceptScore W4280520421C2776175482 @default.
• W4280520421 hasConceptScore W4280520421C2779960059 @default.
• W4280520421 hasConceptScore W4280520421C33923547 @default.

• next