Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311897423> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4311897423 endingPage "2237" @default.
- W4311897423 startingPage "2228" @default.
- W4311897423 abstract "Synchrotron X-ray microdiffraction ( <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>μ</i> XRD) services are conducted for industrial minerals to identify their crystal impurities in terms of crystallinity and potential impurities. <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>μ</i> XRD services generate huge loads of images that have to be screened before further processing and storage. However, there are insufficient effective labeled samples to train a screening model since service consumers are unwilling to share their original experimental images. In this article, we propose a physics law-informed federated learning (FL) based <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>μ</i> XRD image screening method to improve the screening while protecting data privacy. In our method, we handle the unbalanced data distribution challenge incurred by service consumers with different categories and amounts of samples with novel client sampling algorithms. We also propose hybrid training schemes to handle asynchronous data communications between FL clients and servers. The experiments show that our method can ensure effective screening for industrial users conducting industrial material testing while keeping commercially confidential information." @default.
- W4311897423 created "2023-01-02" @default.
- W4311897423 creator A5009433598 @default.
- W4311897423 creator A5025524855 @default.
- W4311897423 creator A5064078720 @default.
- W4311897423 creator A5067483347 @default.
- W4311897423 creator A5086260915 @default.
- W4311897423 date "2023-02-01" @default.
- W4311897423 modified "2023-09-23" @default.
- W4311897423 title "Federated-Learning-Based Synchrotron X-Ray Microdiffraction Image Screening for Industry Materials" @default.
- W4311897423 cites W2142402086 @default.
- W4311897423 cites W2941227905 @default.
- W4311897423 cites W2941572705 @default.
- W4311897423 cites W2963361189 @default.
- W4311897423 cites W2986631711 @default.
- W4311897423 cites W3013238231 @default.
- W4311897423 cites W3015200820 @default.
- W4311897423 cites W3024966355 @default.
- W4311897423 cites W3030218575 @default.
- W4311897423 cites W3044626808 @default.
- W4311897423 cites W3093585353 @default.
- W4311897423 cites W3095540342 @default.
- W4311897423 cites W3142701982 @default.
- W4311897423 cites W3160877984 @default.
- W4311897423 cites W3161652728 @default.
- W4311897423 cites W3163993681 @default.
- W4311897423 cites W3201635361 @default.
- W4311897423 cites W4210725851 @default.
- W4311897423 cites W4220810976 @default.
- W4311897423 cites W4225701806 @default.
- W4311897423 cites W4288039037 @default.
- W4311897423 doi "https://doi.org/10.1109/tii.2022.3205372" @default.
- W4311897423 hasPublicationYear "2023" @default.
- W4311897423 type Work @default.
- W4311897423 citedByCount "0" @default.
- W4311897423 crossrefType "journal-article" @default.
- W4311897423 hasAuthorship W4311897423A5009433598 @default.
- W4311897423 hasAuthorship W4311897423A5025524855 @default.
- W4311897423 hasAuthorship W4311897423A5064078720 @default.
- W4311897423 hasAuthorship W4311897423A5067483347 @default.
- W4311897423 hasAuthorship W4311897423A5086260915 @default.
- W4311897423 hasConcept C11413529 @default.
- W4311897423 hasConcept C119857082 @default.
- W4311897423 hasConcept C144133560 @default.
- W4311897423 hasConcept C154945302 @default.
- W4311897423 hasConcept C162853370 @default.
- W4311897423 hasConcept C2780378061 @default.
- W4311897423 hasConcept C38652104 @default.
- W4311897423 hasConcept C41008148 @default.
- W4311897423 hasConcept C71745522 @default.
- W4311897423 hasConcept C77088390 @default.
- W4311897423 hasConceptScore W4311897423C11413529 @default.
- W4311897423 hasConceptScore W4311897423C119857082 @default.
- W4311897423 hasConceptScore W4311897423C144133560 @default.
- W4311897423 hasConceptScore W4311897423C154945302 @default.
- W4311897423 hasConceptScore W4311897423C162853370 @default.
- W4311897423 hasConceptScore W4311897423C2780378061 @default.
- W4311897423 hasConceptScore W4311897423C38652104 @default.
- W4311897423 hasConceptScore W4311897423C41008148 @default.
- W4311897423 hasConceptScore W4311897423C71745522 @default.
- W4311897423 hasConceptScore W4311897423C77088390 @default.
- W4311897423 hasFunder F4320321001 @default.
- W4311897423 hasIssue "2" @default.
- W4311897423 hasLocation W43118974231 @default.
- W4311897423 hasOpenAccess W4311897423 @default.
- W4311897423 hasPrimaryLocation W43118974231 @default.
- W4311897423 hasRelatedWork W2961085424 @default.
- W4311897423 hasRelatedWork W3046775127 @default.
- W4311897423 hasRelatedWork W3107474891 @default.
- W4311897423 hasRelatedWork W3170094116 @default.
- W4311897423 hasRelatedWork W3209574120 @default.
- W4311897423 hasRelatedWork W4205958290 @default.
- W4311897423 hasRelatedWork W4286629047 @default.
- W4311897423 hasRelatedWork W4306321456 @default.
- W4311897423 hasRelatedWork W4306674287 @default.
- W4311897423 hasRelatedWork W4224009465 @default.
- W4311897423 hasVolume "19" @default.
- W4311897423 isParatext "false" @default.
- W4311897423 isRetracted "false" @default.
- W4311897423 workType "article" @default.