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Ergebnis der Suche nach: "Machine Learning"
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Artikel 27331 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 27332 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 27333 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 27334 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 27335 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
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Artikel 27336 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
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Artikel 27337 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 27338 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 27339 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 27340 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.
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