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

41731 - 41740 von 42059

	41731	Using machine learning tools for protein database biocuration assistance Enthalten in Scientific reports Bd. 8, 5.7.2018, Nr. 1, date:12.2018: 1-10
	41732	Using machine learning tools to predict outcomes for emergency department intensive care unit patients Enthalten in Scientific reports Bd. 10, 1.12.2020, Nr. 1, date:12.2020: 1-10
	41733	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
	41734	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
	41735	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
	41736	Using multiple machine learning algorithms to predict spinal cord injury in patients with cervical spondylosis: a multicenter study Enthalten in Scientific reports Bd. 15, 27.10.2025, Nr. 1, date:12.2025: 1-13
	41737	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
	41738	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
	41739	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
	41740	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

41731 - 41740 von 42059

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