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32791 - 32800 von 33105

	32791	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
	32792	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.
	32793	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
	32794	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
	32795	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
	32796	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
	32797	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
	32798	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
	32799	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
	32800	Using Sparrow Search Algorithm for tuning hyperparameters of hybrid machine learning models Enthalten in Signal, image and video processing Bd. 19, 4.7.2025, Nr. 10, date:10.2025: 1-20

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