المؤلفون: Bertoldo, João P C, Decencière, Etienne, Ryckelynck, David, Proudhon, Henry

المساهمون: Centre des Matériaux (CDM), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Centre de Morphologie Mathématique (CMM), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)

المصدر: ISSN: 2296-8016 ; Frontiers in Materials ; https://hal.science/hal-03380106Test ; Frontiers in Materials, 2021, 8, pp.761229. ⟨10.21203/rs.3.rs-721240/v1⟩.

مصطلحات موضوعية: 3D X-ray Computed Tomography, Deep Learning, U-Net, Modular Network Architecture, Semantic Segmentation, Composite Material, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SPI.MAT]Engineering Sciences [physics]/Materials

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2107.07468; hal-03380106; https://hal.science/hal-03380106Test; https://hal.science/hal-03380106v2/documentTest; https://hal.science/hal-03380106v2/file/fmats-08-761229.pdfTest; ARXIV: 2107.07468

الإتاحة: https://doi.org/10.21203/rs.3.rs-721240/v1Test
https://hal.science/hal-03380106Test
https://hal.science/hal-03380106v2/documentTest
https://hal.science/hal-03380106v2/file/fmats-08-761229.pdfTest

المؤلفون: João P. C. Bertoldo, Etienne Decencière, David Ryckelynck, Henry Proudhon

المصدر: Frontiers in Materials, Vol 8 (2021)

مصطلحات موضوعية: deep learning, U-net, modular network architecture, semantic segmentation, 3D X-ray computed tomography (XCT), composite material, Technology

العلاقة: https://www.frontiersin.org/articles/10.3389/fmats.2021.761229/fullTest; https://doaj.org/toc/2296-8016Test; https://doaj.org/article/679dbf87b1ff4732838daf11f3be2271Test

الإتاحة: https://doi.org/10.3389/fmats.2021.761229Test
https://doaj.org/article/679dbf87b1ff4732838daf11f3be2271Test

المؤلفون: Bertoldo, João P C, Decencière, Etienne, Ryckelynck, David, Proudhon, Henry

المساهمون: Centre des Matériaux (CDM), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Centre de Morphologie Mathématique (CMM), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)

المصدر: ISSN: 2296-8016 ; Frontiers in Materials ; https://hal.science/hal-03380106Test ; Frontiers in Materials, 2021, 8, pp.761229. ⟨10.21203/rs.3.rs-721240/v1⟩.

مصطلحات موضوعية: 3D X-ray Computed Tomography, Deep Learning, U-Net, Modular Network Architecture, Semantic Segmentation, Composite Material, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SPI.MAT]Engineering Sciences [physics]/Materials

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2107.07468; hal-03380106; https://hal.science/hal-03380106Test; https://hal.science/hal-03380106v2/documentTest; https://hal.science/hal-03380106v2/file/fmats-08-761229.pdfTest; ARXIV: 2107.07468

الإتاحة: https://doi.org/10.21203/rs.3.rs-721240/v1Test
https://hal.science/hal-03380106Test
https://hal.science/hal-03380106v2/documentTest
https://hal.science/hal-03380106v2/file/fmats-08-761229.pdfTest

المؤلفون: Bertoldo, João P C, Decencière, Etienne, Ryckelynck, David, Proudhon, Henry

المساهمون: Centre des Matériaux (MAT), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL), Centre de Morphologie Mathématique (CMM), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)

المصدر: https://hal.archives-ouvertes.fr/hal-03380106Test ; 2021.

مصطلحات موضوعية: 3D X-ray Computed Tomography, Deep Learning, U-Net, Modular Network Architecture, Semantic Segmentation, Composite Material, [PHYS.MECA.MEMA]Physics [physics]/Mechanics [physics]/Mechanics of materials [physics.class-ph]

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2107.07468; hal-03380106; https://hal.archives-ouvertes.fr/hal-03380106Test; https://hal.archives-ouvertes.fr/hal-03380106/documentTest; https://hal.archives-ouvertes.fr/hal-03380106/file/2107.07468.pdfTest; ARXIV: 2107.07468

الإتاحة: https://doi.org/10.21203/rs.3.rs-721240/v1Test
https://hal.archives-ouvertes.fr/hal-03380106Test
https://hal.archives-ouvertes.fr/hal-03380106/documentTest
https://hal.archives-ouvertes.fr/hal-03380106/file/2107.07468.pdfTest

المؤلفون: João P. C. Bertoldo (11753273), Etienne Decencière (11753276), David Ryckelynck (11753279), Henry Proudhon (11753282)

مصطلحات موضوعية: Biomaterials, Construction Materials, Ceramics, Composite and Hybrid Materials, Functional Materials, Glass, Materials Engineering not elsewhere classified, Optical Properties of Materials, Synthesis of Materials, deep learning, U-net, modular network architecture, semantic segmentation, 3D X-ray computed tomography (XCT), composite material

العلاقة: https://figshare.com/articles/dataset/DataSheet1_A_Modular_U-Net_for_Automated_Segmentation_of_X-Ray_Tomography_Images_in_Composite_Materials_pdf/17078765Test

الإتاحة: https://doi.org/10.3389/fmats.2021.761229.s001Test

المؤلفون: João P. C. Bertoldo, Etienne Decencière, David Ryckelynck, Henry Proudhon

مصطلحات موضوعية: Biomaterials, Construction Materials, Ceramics, Composite and Hybrid Materials, Functional Materials, Glass, Materials Engineering not elsewhere classified, Optical Properties of Materials, Synthesis of Materials, deep learning, U-net, modular network architecture, semantic segmentation, 3D X-ray computed tomography (XCT), composite material

العلاقة: https://figshare.com/articles/dataset/DataSheet1_A_Modular_U-Net_for_Automated_Segmentation_of_X-Ray_Tomography_Images_in_Composite_Materials_pdf/17078765Test

الإتاحة: https://doi.org/10.3389/fmats.2021.761229.s001Test
https://figshare.com/articles/dataset/DataSheet1_A_Modular_U-Net_for_Automated_Segmentation_of_X-Ray_Tomography_Images_in_Composite_Materials_pdf/17078765Test

المؤلفون: Mađerić, Gabrijel

المساهمون: Tomičević, Zvonimir

مصطلحات موضوعية: TEHNIČKE ZNANOSTI. Strojarstvo, TECHNICAL SCIENCES. Mechanical Engineering, kompozit, nerazorna ispitivanja, računalna tomografija X-zrakama (X-CT), korelacija digitalnog volumena, standardna rezolucija pomaka, standardna rezolucija deformacija, composite material, non-destructive testing, X-ray computed tomography (X-CT), Digital Volume Correlation (DVC), standard displacement resolution, standard strain resolution

وصف الملف: application/pdf

العلاقة: https://zir.nsk.hr/islandora/object/fsb:4596Test; https://urn.nsk.hr/urn:nbn:hr:235:559531Test; https://repozitorij.unizg.hr/islandora/object/fsb:4596Test; https://repozitorij.unizg.hr/islandora/object/fsb:4596/datastream/PDFTest

الإتاحة: https://zir.nsk.hr/islandora/object/fsb:4596Test
https://urn.nsk.hr/urn:nbn:hr:235:559531Test
https://repozitorij.unizg.hr/islandora/object/fsb:4596Test
https://repozitorij.unizg.hr/islandora/object/fsb:4596/datastream/PDFTest