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43441 - 43450 von 43761

	43441	Using of Machine Learning Capabilities to Predict Double Phosphate Structures for Biomedical Applications Enthalten in Journal of surface investigation Bd. 18, 15.7.2024, Nr. 3, date:6.2024: 633-640
	43442	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.
	43443	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
	43444	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.
	43445	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
	43446	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
	43447	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
	43448	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
	43449	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
	43450	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

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