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32391 - 32400 von 32709

	32391	Using machine learning with case studies to identify practices that reduce greenhouse gas emissions across Australian grain production regions Enthalten in Agronomy for sustainable development Bd. 43, 20.3.2023, Nr. 2, date:4.2023: 1-11
	32392	Using matrix assisted laser desorption ionisation mass spectrometry combined with machine learning for vaccine authenticity screening Enthalten in npj vaccines Bd. 9, 28.8.2024, Nr. 1, date:12.2024: 1-14
	32393	Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis Enthalten in Malaria journal Bd. 18, 30.5.2019, Nr. 1, date:12.2019: 1-9
	32394	Using music to soothe our patients, measuring hair cortisol, and machine learning in diabetes: Prof. Batrinos would have been very happy! Enthalten in Hormones Bd. 22, 10.11.2023, Nr. 4, date:12.2023: 533-535
	32395	Using natural history to guide supervised machine learning for cryptic species delimitation with genetic data Enthalten in Frontiers in zoology Bd. 19, 22.2.2022, Nr. 1, date:12.2022: 1-15
	32396	Using natural language processing and machine learning to identify breast cancer local recurrence Enthalten in BMC bioinformatics Bd. 19, 28.12.2018, Nr. 17, date:12.2018: 65-74
	32397	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
	32398	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.
	32399	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
	32400	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.

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