المؤلفون: Siyu Wang, Xiaogang Yang, Ruitao Lu, Shuang Su, Bin Tang, Tao Zhang, Zhengjie Zhu

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 4255-4272 (2025)

مصطلحات موضوعية: Distillation training, object detection, remote sensing, unsupervised domain adaptation (UDA), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10836742/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/f7f2485f95d44ddfabeb458dbf1b6acf

المؤلفون: Sunhyeok Lee, Dae-Shik Kim

المصدر: IEEE Access, Vol 13, Pp 8482-8494 (2025)

مصطلحات موضوعية: Multi-view learning, optimal transport, prototypical learning, unsupervised domain adaptation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10836683/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/548dd03ddbda4c4d92542af3b9101998

المؤلفون: Jianzi Xiang, Cailu Wan, Zhu Cao

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)

مصطلحات موضوعية: Semantic segmentation, Unsupervised domain adaptation, Contrastive learning, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/09b6a5333fa5481b8fa89b1fdd334619

المؤلفون: Thandiackal, Kevin, Piccinelli, Luigi, Gupta, Rajarsi, Pati, Pushpak, Göksel, Orcun

المصدر: IEEE Transactions on Medical Imaging. 43(7):2599-2609

مصطلحات موضوعية: Computational pathology, unsupervised domain adaptation, generative adversarial networks

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-523766
https://doi.org/10.48550/arXiv.2302.01287
https://uu.diva-portal.org/smash/get/diva2:1840211/FULLTEXT01.pdf

المؤلفون: Qing Tian, Canyu Sun

المصدر: Electronic Research Archive, Vol 32, Iss 11, Pp 6338-6363 (2024)

مصطلحات موضوعية: unsupervised domain adaptation, ordinal domain adaptation, structure-oriented adaptation, ordinal regression, Mathematics, QA1-939, Applied mathematics. Quantitative methods, T57-57.97

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2688-1594

URL الوصول: https://doaj.org/article/dc73389984584688a7da2ed6fad4a8ef

المؤلفون: Yuwei Yin, Zhixian Tang, Zheng Huang, Mingxuan Wang, Huachun Weng

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Deep learning, Unsupervised domain adaptation, Kidney disease, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/c4e6ac916dd548ca89d29921263c84cf

المؤلفون: JIANG Youpeng, HUA Yang, SONG Xiaoning

المصدر: Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2384-2394 (2024)

مصطلحات موضوعية: 3d human pose estimation, unsupervised domain adaptation, generative adversarial network (gan), attention mechanism, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://fcst.ceaj.org/fileup/1673-9418/PDF/2307016.pdf; https://doaj.org/toc/1673-9418

URL الوصول: https://doaj.org/article/4232f6f5ba3e4bde8d503f707ee1ddc6

المؤلفون: Xingshuo Jing, Kun Qian

المصدر: Sensors, Vol 25, Iss 1, p 256 (2025)

مصطلحات موضوعية: cross-sensor domain gaps, tactile sensing, unsupervised domain adaptation, style to content, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/25/1/256; https://doaj.org/toc/1424-8220; https://doaj.org/article/fa1476042c9447f38fe55d49ba2e4a5c

الاتاحة: https://doi.org/10.3390/s25010256
https://doaj.org/article/fa1476042c9447f38fe55d49ba2e4a5c

المؤلفون: Leglaive, Simon, Fraticelli, Matthieu, ElGhazaly, Hend, Borne, Léonie, Sadeghi, Mostafa, Wisdom, Scott, Pariente, Manuel, Hershey, John, R., Pressnitzer, Daniel, Barker, Jon, P.

المساهمون: CentraleSupélec, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - Ecole Polytechnique de l'Université de Nantes (Nantes Univ - EPUN), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), École normale supérieure - Paris (ENS-PSL), Université Paris Sciences et Lettres (PSL), University of Sheffield Sheffield, Pulse Audition, Speech Modeling for Facilitating Oral-Based Communication (MULTISPEECH), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Google Inc, Research at Google, ANR-23-CE23-0009,DEGREASE,Modèles génératifs et d'inférence par apprentissage profond pour le rehaussement de la parole faiblement supervisé(2023)

المصدر: ISSN: 0885-2308.

مصطلحات موضوعية: CHiME challenge, Multi-speaker conversational speech, Speech enhancement, Unsupervised domain adaptation, ITU-T P.835 listening test, [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2402.01413; ARXIV: 2402.01413

الاتاحة: https://hal.science/hal-04430786
https://hal.science/hal-04430786v2/document
https://hal.science/hal-04430786v2/file/main.pdf
https://doi.org/10.1016/j.csl.2024.101685

المؤلفون: Gao Shang, Jun Chen

المصدر: Case Studies in Construction Materials, Vol 21, Iss , Pp e03987- (2024)

مصطلحات موضوعية: Concrete subsurface defects, Automatic detection system, Signal analysis, Unsupervised domain adaptation, Defect depth, Materials of engineering and construction. Mechanics of materials, TA401-492

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214509524011380; https://doaj.org/toc/2214-5095

URL الوصول: https://doaj.org/article/afc1e077f1cd45bd8df8dbcb7802145f

المؤلفون: Xueze Gao, Quan Feng, Shuzhi Wang, Jianhua Zhang, Sen Yang

المصدر: Frontiers in Plant Science, Vol 15 (2024)

مصطلحات موضوعية: field environment, potato disease recognition, multi-source unsupervised domain adaptation, multi-representation extraction, subdomain alignment, Plant culture, SB1-1110

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpls.2024.1471085/full; https://doaj.org/toc/1664-462X

URL الوصول: https://doaj.org/article/5235fca6cd254b0d85324e39acf87bfe

المؤلفون: Hsiau-Wen Lin, Trang-Thi Ho, Ching-Ting Tu, Hwei-Jen Lin, Chen-Hsiang Yu

المصدر: Mathematics, Vol 13, Iss 2, p 226 (2025)

مصطلحات موضوعية: unsupervised domain adaptation, maximum mean discrepancy (MMD), discriminative class-wise MMD (DCWMMD), meta-learning, deep kernel, feature distributions, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/2/226; https://doaj.org/toc/2227-7390

URL الوصول: https://doaj.org/article/7e7efb0201ae4a33a7703a0054127293

المؤلفون: Hao Luo, Xinyue Wang, Li Zhang

المصدر: Actuators, Vol 14, Iss 1, p 39 (2025)

مصطلحات موضوعية: fault diagnosis, unsupervised domain adaptation, class imbalance, rolling bearing, Materials of engineering and construction. Mechanics of materials, TA401-492, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-0825/14/1/39; https://doaj.org/toc/2076-0825

URL الوصول: https://doaj.org/article/92b1dcaca4ff461daaba2b459809b0ff

المؤلفون: Haitao Tian, Pierre Payeur

المصدر: Algorithms, Vol 17, Iss 12, p 581 (2024)

مصطلحات موضوعية: unsupervised domain adaptation, human action recognition, contrastive learning, human skeleton data, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1999-4893/17/12/581; https://doaj.org/toc/1999-4893

URL الوصول: https://doaj.org/article/ffbf8c8d91cd4a4396a1f963e990bd20

المؤلفون: Fu, Jingru, Bendazzoli, Simone, Smedby, Örjan, Professor, 1956, Moreno, Rodrigo, 1973

مصطلحات موضوعية: Unsupervised domain adaptation, Pediatric tumor segmentation, Gradient reversal layer, Teknik och hälsa, Technology and Health

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-356998
https://kth.diva-portal.org/smash/get/diva2:1916902/FULLTEXT01.pdf

المؤلفون: Zhu, Xiaomeng, Mårtensson, Pär, Hanson, Lars, Björkman, Mårten, Maki, Atsuto

المصدر: Journal of Intelligent Manufacturing.

مصطلحات موضوعية: Assembly quality inspection, Computer vision, Point cloud, Synthetic data, Transfer learning, Unsupervised domain adaptation, Assembly, Data transfer, Deep learning, Inspection, Learning systems, Assembly quality, Automated assembly, Design data, Domain adaptation, Point-clouds, Quality inspection, Computer aided design, User Centred Product Design, Användarcentrerad produktdesign

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-23777
https://doi.org/10.1007/s10845-024-02375-6
https://his.diva-portal.org/smash/get/diva2:1854301/FULLTEXT01.pdf

المؤلفون: Neelakantan, Suraj, 1994, Norell, Jesper, Hansson, Alexander, Längkvist, Martin, 1983, Loutfi, Amy, 1978

المصدر: Applied Computing and Geosciences. 21

مصطلحات موضوعية: Mineral identification, Unsupervised domain adaptation, Deep convolutional neural network, Semantic segmentation, Euhedral pyrites, Computer Science, Datavetenskap

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-111189
https://doi.org/10.1016/j.acags.2023.100153

المؤلفون: Jian Wei, Qinzhao Wang

المصدر: Heliyon, Vol 10, Iss 11, Pp e32413- (2024)

مصطلحات موضوعية: Cross-domain object detection, Multi-task, Mosaic, Unsupervised domain adaptation, Science (General), Q1-390, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024084445; https://doaj.org/toc/2405-8440

URL الوصول: https://doaj.org/article/141a981d4c484fbb9b85ea0e8f540fbc

المؤلفون: Hsiau-Wen Lin, Yihjia Tsai, Hwei Jen Lin, Chen-Hsiang Yu, Meng-Hsing Liu

المصدر: AIMS Mathematics, Vol 9, Iss 3, Pp 6628-6647 (2024)

مصطلحات موضوعية: maximum mean discrepancy (mmd), unsupervised domain adaptation, transfer learning, reproduced kernel hilbert space, pseudo labels, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2473-6988

URL الوصول: https://doaj.org/article/634e30eef3364c7d9b5cc2f8c2f55ccd

المؤلفون: Ziqi Guo, Teresa Wu, Thurmon E. Lockhart, Rahul Soangra, Hyunsoo Yoon

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

مصطلحات موضوعية: Unsupervised domain adaptation, Machine learning, Classification, Fall risk, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/b41e3a7063554080a9ba914ee2b8d42c