Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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34651 - 34660 von 36395

	34651	Self-Control and Beliefs Surrounding Others’ Cooperation Predict Own Health-Protective Behaviors and Support for COVID-19 Government Regulations: Evidence From Two European Countries Enthalten in Social psychological bulletin Bd. 16, 30.03.2021, Nr. 1
	34652	Self explainable graph convolutional recurrent network for spatio-temporal forecasting Enthalten in Machine learning Bd. 114, 14.1.2025, Nr. 1, date:1.2025: 1-31
	34653	Self-healing hybrid intrusion detection system: an ensemble machine learning approach Enthalten in Discover artificial intelligence Bd. 4, 16.4.2024, Nr. 1, date:12.2024: 1-20
	34654	Self-organizing maps with adaptive distances for multiple dissimilarity matrices Enthalten in Machine learning Bd. 113, 3.9.2024, Nr. 10, date:10.2024: 7783-7806
	34655	Self-report symptom-based endometriosis prediction using machine learning Enthalten in Scientific reports Bd. 13, 4.4.2023, Nr. 1, date:12.2023: 1-10
	34656	Self-sensing capacity of strain-hardening fiber-reinforced cementitious composites: machine learning prediction and experimental validation Enthalten in Asian journal of civil engineering Bd. 26, 17.3.2025, Nr. 4, date:4.2025: 1801-1818
	34657	Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis Enthalten in npj digital medicine Bd. 8, 15.2.2025, Nr. 1, date:12.2025: 1-14
	34658	SELF-SUPERVISED LEARNING – A WAY TO MINIMIZE TIME AND EFFORT FOR PRECISION AGRICULTURE? Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 1327-1333. 7 S.
	34659	Self-supervised learning advanced plant disease image classification with SimCLR Enthalten in Advances in computational intelligence Bd. 3, 31.10.2023, Nr. 5, date:10.2023: 1-7
	34660	Self-supervised machine learning for live cell imagery segmentation Enthalten in Communications biology Bd. 5, 2.11.2022, Nr. 1, date:12.2022: 1-8