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Ergebnis der Suche nach: "Machine Learning"
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13651 - 13660 von 14078
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Artikel 13651 Trimodal machine learning based biometrics system
Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-10
Online Ressource
Artikel 13652 Trust-driven approach to enhance early forest fire detection using machine learning
Enthalten in Scientific reports Bd. 15, 25.4.2025, Nr. 1, date:12.2025: 1-22
Online Ressource
Artikel 13653 Trustworthy machine learning in the context of security and privacy
Enthalten in International journal of information security Bd. 23, 3.4.2024, Nr. 3, date:6.2024: 2287-2314
Online Ressource
Artikel 13654 Truthful meta-explanations for local interpretability of machine learning models
Enthalten in Applied intelligence Bd. 53, 30.8.2023, Nr. 22, date:11.2023: 26927-26948
Online Ressource
Artikel 13655 Tumor Prognostic Risk Model Related to Monocytes/Macrophages in Hepatocellular Carcinoma Based on Machine Learning and Multi-Omics
Enthalten in Biological procedures online Bd. 27, 10.3.2025, Nr. 1, date:12.2025: 1-19
Online Ressource
Artikel 13656 Tunnel Overbreak Prediction: An Integrated Approach Using 3D Photogrammetry and Machine Learning
Enthalten in Mining, metallurgy & exploration Bd. 42, 17.5.2025, Nr. 3, date:6.2025: 1441-1457
Online Ressource
Artikel 13657 Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach
Enthalten in BMC public health Bd. 24, 7.5.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 13658 Two Decades of Coastal Development across the Arabian Gulf: Insights from Remote Sensing and Machine Learning
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-G-2025, 2025: 331-338. 8 S.
Online Ressource
Artikel 13659 Two heads are better than one: current landscape of integrating QSP and machine learning
Enthalten in Journal of pharmacokinetics and pharmacodynamics Bd. 49, 1.2.2022, Nr. 1, date:2.2022: 5-18
Online Ressource
Artikel 13660 Two machine learning-based nomogram to predict risk and prognostic factors for liver metastasis from pancreatic neuroendocrine tumors: a multicenter study
Enthalten in BMC cancer Bd. 23, 9.6.2023, Nr. 1, date:12.2023: 1-18
Online Ressource


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