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Ergebnis der Suche nach: "Machine Learning"
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27101 - 27110 von 28841
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Artikel 27101 Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10 kDa
Enthalten in Nature methods Bd. 20, 27.2.2023, Nr. 3, date:3.2023: 442-447
Online Ressource
Artikel 27102 Semantic approach for Web service classification using machine learning and measures of semantic relatedness
Enthalten in Service oriented computing and applications Bd. 10, 14.9.2015, Nr. 3, date:9.2016: 221-231
Online Ressource
Artikel 27103 Semantic-aware contrastive learning via multi-prompt alignment
Enthalten in Machine learning Bd. 114, 6.2.2025, Nr. 3, date:3.2025: 1-21
Online Ressource
Artikel 27104 Semantic modeling of cell damage prediction: a machine learning approach at human-level performance in dermatology
Enthalten in Scientific reports Bd. 13, 23.5.2023, Nr. 1, date:12.2023: 1-10
Online Ressource
Artikel 27105 Semantic relations classification in Hindi compound nouns using embeddings
Enthalten in International journal of information technology Bd. 15, 25.7.2023, Nr. 6, date:8.2023: 2969-2974
Online Ressource
Artikel 27106 Semantic segmentation in crystal growth process using fake micrograph machine learning
Enthalten in Scientific reports Bd. 14, 21.8.2024, Nr. 1, date:12.2024: 1-8
Online Ressource
Artikel 27107 Semantic segmentation of methane plumes with hyperspectral machine learning models
Enthalten in Scientific reports Bd. 13, 17.11.2023, Nr. 1, date:12.2023: 1-14
Online Ressource
Artikel 27108 SEMANTIC SEGMENTATION OF UAV IMAGES BASED ON U-NET IN URBAN AREA
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4/W1-2022, 2023: 451-457. 7 S.
Online Ressource
Artikel 27109 Semantic Segmentation Uncertainty Assessment of Different U-net Architectures for Extracting Building Footprints
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4-2024, 2024: 141-148. 8 S.
Online Ressource
Artikel 27110 SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B2-2022, 2022: 485-491. 7 S.
Online Ressource


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