Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280652950> ?p ?o ?g. }
- W4280652950 abstract "Multimode fibers (MMF) are miniaturized, flexible, and high‐capacity information channels, promising to open up new applications in endoscopic imaging. However, precise light control through an MMF with continuous deformations is still a challenge. Here, a scalable calibration framework for a dynamically deformed MMF using deep learning is proposed. The proof‐of‐concept experiments demonstrate that the proposed continual generative adversarial model has the ability to characterize the MMF transmission states sequentially and detect the fiber deformation using proximal reflection in real‐time synchronously, allowing self‐adaptively cross‐state focusing through a semi‐flexible MMF without distal access after the scalable calibration. This framework is a continual learning scheme under extreme memory constraints where the model is able to synthesize training data and prevent forgetting the previously learned bending states. The proposed method paves the way for the experimental realization of scalable calibration of a dynamically deformed MMF." @default.
- W4280652950 created "2022-05-22" @default.
- W4280652950 creator A5001046274 @default.
- W4280652950 creator A5035182164 @default.
- W4280652950 creator A5042206717 @default.
- W4280652950 creator A5063405026 @default.
- W4280652950 creator A5067358822 @default.
- W4280652950 creator A5069831261 @default.
- W4280652950 creator A5074787968 @default.
- W4280652950 creator A5077109349 @default.
- W4280652950 date "2022-05-14" @default.
- W4280652950 modified "2023-10-15" @default.
- W4280652950 title "Deep Learning Enabled Scalable Calibration of a Dynamically Deformed Multimode Fiber" @default.
- W4280652950 cites W1546326635 @default.
- W4280652950 cites W1963561884 @default.
- W4280652950 cites W1968022350 @default.
- W4280652950 cites W1974920772 @default.
- W4280652950 cites W1990970384 @default.
- W4280652950 cites W1997668398 @default.
- W4280652950 cites W2022388550 @default.
- W4280652950 cites W2042188630 @default.
- W4280652950 cites W2063967396 @default.
- W4280652950 cites W2081018948 @default.
- W4280652950 cites W2091293637 @default.
- W4280652950 cites W2104895315 @default.
- W4280652950 cites W2127913709 @default.
- W4280652950 cites W2142986377 @default.
- W4280652950 cites W2214095171 @default.
- W4280652950 cites W2255692513 @default.
- W4280652950 cites W2303900520 @default.
- W4280652950 cites W2333514158 @default.
- W4280652950 cites W2473930607 @default.
- W4280652950 cites W2560647685 @default.
- W4280652950 cites W2592983002 @default.
- W4280652950 cites W2773212898 @default.
- W4280652950 cites W2807057771 @default.
- W4280652950 cites W2845057599 @default.
- W4280652950 cites W2884627223 @default.
- W4280652950 cites W2899346837 @default.
- W4280652950 cites W2904404111 @default.
- W4280652950 cites W2942354466 @default.
- W4280652950 cites W2950644780 @default.
- W4280652950 cites W2962707369 @default.
- W4280652950 cites W2963285625 @default.
- W4280652950 cites W2963665033 @default.
- W4280652950 cites W2974252212 @default.
- W4280652950 cites W3016799404 @default.
- W4280652950 cites W3023156458 @default.
- W4280652950 cites W3100949998 @default.
- W4280652950 cites W3102098719 @default.
- W4280652950 cites W3102277795 @default.
- W4280652950 cites W3103412703 @default.
- W4280652950 cites W3105420146 @default.
- W4280652950 cites W3121735011 @default.
- W4280652950 cites W3131771186 @default.
- W4280652950 cites W4246642725 @default.
- W4280652950 cites W866566511 @default.
- W4280652950 doi "https://doi.org/10.1002/adpr.202100304" @default.
- W4280652950 hasPublicationYear "2022" @default.
- W4280652950 type Work @default.
- W4280652950 citedByCount "3" @default.
- W4280652950 countsByYear W42806529502022 @default.
- W4280652950 countsByYear W42806529502023 @default.
- W4280652950 crossrefType "journal-article" @default.
- W4280652950 hasAuthorship W4280652950A5001046274 @default.
- W4280652950 hasAuthorship W4280652950A5035182164 @default.
- W4280652950 hasAuthorship W4280652950A5042206717 @default.
- W4280652950 hasAuthorship W4280652950A5063405026 @default.
- W4280652950 hasAuthorship W4280652950A5067358822 @default.
- W4280652950 hasAuthorship W4280652950A5069831261 @default.
- W4280652950 hasAuthorship W4280652950A5074787968 @default.
- W4280652950 hasAuthorship W4280652950A5077109349 @default.
- W4280652950 hasBestOaLocation W42806529501 @default.
- W4280652950 hasConcept C101645829 @default.
- W4280652950 hasConcept C105795698 @default.
- W4280652950 hasConcept C108583219 @default.
- W4280652950 hasConcept C113775141 @default.
- W4280652950 hasConcept C120314980 @default.
- W4280652950 hasConcept C121332964 @default.
- W4280652950 hasConcept C138885662 @default.
- W4280652950 hasConcept C154945302 @default.
- W4280652950 hasConcept C159985019 @default.
- W4280652950 hasConcept C165838908 @default.
- W4280652950 hasConcept C192562407 @default.
- W4280652950 hasConcept C194232370 @default.
- W4280652950 hasConcept C199360897 @default.
- W4280652950 hasConcept C2781089630 @default.
- W4280652950 hasConcept C33923547 @default.
- W4280652950 hasConcept C41008148 @default.
- W4280652950 hasConcept C41895202 @default.
- W4280652950 hasConcept C48044578 @default.
- W4280652950 hasConcept C519885992 @default.
- W4280652950 hasConcept C62520636 @default.
- W4280652950 hasConcept C65682993 @default.
- W4280652950 hasConcept C7149132 @default.
- W4280652950 hasConcept C761482 @default.
- W4280652950 hasConcept C76155785 @default.
- W4280652950 hasConcept C77088390 @default.
- W4280652950 hasConceptScore W4280652950C101645829 @default.
- W4280652950 hasConceptScore W4280652950C105795698 @default.