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24. Dezember 2025 bis 1. Januar 2026: Die Deutsche Nationalbibliothek bleibt an beiden Standorten geschlossen. Bestellte Medien werden am 2. Januar 2026 bereitgestellt. // 24 December 2025 to 1 January 2026: The German National Library will be closed at both locations. Ordered media will be made available on 2 January 2026.

Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

40961 - 40970 von 41272

	40961	USING OPEN DATA CUBE ON THE CLOUD TO INVESTIGATE FOOD SECURITY BY MEANS OF CROPLAND CHANGES IN DJIBOUTI Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 1039-1044. 6 S.
	40962	Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms Enthalten in Water resources management Bd. 36, 17.1.2022, Nr. 2, date:1.2022: 699-716
	40963	Using Passive Multi-Modal Sensor Data for Thermal Simulation of Urban Surfaces Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-2-2024, 2024: 17-24. 8 S.
	40964	Using prognostic signatures and machine learning to identify core features associated with response to CDK4/6 inhibitor-based therapy in metastatic breast cancer Enthalten in Oncogene Bd. 44, 26.2.2025, Nr. 19, date:5.2025: 1387-1399
	40965	Using published pathway figures in enrichment analysis and machine learning Enthalten in BMC genomics Bd. 24, 25.11.2023, Nr. 1, date:12.2023: 1-13
	40966	Using quantum atomics and machine learning to advance picotechnology Enthalten in Theoretical chemistry accounts Bd. 143, 26.9.2024, Nr. 10, date:10.2024: 1-9
	40967	Using remote sensing data for geological mapping in semi-arid environment: a machine learning approach Enthalten in Earth science informatics Bd. 15, 3.2.2022, Nr. 1, date:3.2022: 485-496
	40968	Using remote sensing, process-based crop models, and machine learning to evaluate crop rotations across 20 million hectares in Western Australia Enthalten in Agronomy for sustainable development Bd. 42, 12.12.2022, Nr. 6, date:12.2022: 1-14
	40969	Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content Enthalten in Scientific reports Bd. 14, 15.4.2024, Nr. 1, date:12.2024: 1-14
	40970	Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP Enthalten in Prevention science Bd. 20, 9.5.2019, Nr. 6, date:8.2019: 904-913