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Ergebnis der Suche nach: "Machine Learning"
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33921 - 33930 von 34112
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Artikel 33921 Vertrauenswürdige KI in Action!
Enthalten in Digitale Welt Bd. 6, 15.9.2022, Nr. 4, date:10.2022: 40-43
Online Ressource
Artikel 33922 VERY HIGH RESOLUTION LAND USE AND LAND COVER MAPPING USING PLEIADES-1 STEREO IMAGERY AND MACHINE LEARNING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B2-2020, 2020: 675-682
Online Ressource
Artikel 33923 VGG16-PCA-PB3C: A hybrid PB3C and deep neural network based approach for leukemia detection
Enthalten in International journal of information technology Bd. 16, 18.6.2024, Nr. 6, date:8.2024: 3605-3615
Online Ressource
Artikel 33924 Vibration analysis for fault detection in wind turbines using machine learning techniques
Enthalten in Advances in computational intelligence Bd. 2, 10.1.2022, Nr. 1, date:2.2022: 1-12
Online Ressource
Artikel 33925 Vibration-based Damage Detection in Bridges via Machine Learning
Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 22, 12.11.2018, Nr. 12, date:12.2018: 5123-5132
Online Ressource
Artikel 33926 Vibration-based water leakage detection system for public open data platforms
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W10-2024, 2024: 71-76. 6 S.
Online Ressource
Artikel 33927 Vibration properties of Paulownia wood for Ruan sound quality using machine learning methods
Enthalten in Journal of forestry research Bd. 35, 7.12.2023, Nr. 1, date:12.2024: 1-7
Online Ressource
Artikel 33928 Vickers hardness prediction from machine learning methods
Enthalten in Scientific reports Bd. 12, 28.12.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 33929 Video Codec Using Machine Learning Based on Parametric Orthogonal Filters
Enthalten in Optical memory and neural networks Bd. 32, 22.12.2023, Nr. 4, date:12.2023: 226-232
Online Ressource
Artikel 33930 Violence and panic abnormal behaviour recognition in crowded environment using spatio-temporal aggregator based machine learning model
Enthalten in Signal, image and video processing Bd. 19, 21.10.2025, Nr. 15, date:12.2025: 1-12
Online Ressource


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