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30391 - 30400 von 30466

	30391	What factors preventing the older adults in China from living longer: a machine learning study Enthalten in BMC geriatrics Bd. 24, 22.7.2024, Nr. 1, date:12.2024: 1-11
	30392	WHAT IDENTIFIES A WHALE BY ITS FLUKE? ON THE BENEFIT OF INTERPRETABLE MACHINE LEARNING FOR WHALE IDENTIFICATION Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. V-2-2020, 2020: 1005-1012
	30393	What is the impact of national public expenditure and its allocation on neonatal and child mortality? A machine learning analysis Enthalten in BMC public health Bd. 23, 28.4.2023, Nr. 1, date:12.2023: 1-11
	30394	What Machine Learning Can Do for Focusing Aerogel Detectors Enthalten in Physics of atomic nuclei Bd. 86, 9.11.2023, Nr. 5, date:10.2023: 864-868
	30395	What We Are Missing: Using Machine Learning Models to Predict Vitamin C Deficiency in Patients with Metabolic and Bariatric Surgery Enthalten in Obesity surgery Bd. 33, 15.4.2023, Nr. 6, date:6.2023: 1710-1719
	30396	What we can do with one qubit in quantum machine learning: ten classical machine learning problems that can be solved with a single qubit Enthalten in Quantum machine intelligence Bd. 6, 12.11.2024, Nr. 2, date:12.2024: 1-24
	30397	What’s in a name? – gender classification of names with character based machine learning models Enthalten in Data mining and knowledge discovery Bd. 35, 12.5.2021, Nr. 4, date:7.2021: 1537-1563
	30398	When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days Enthalten in Machine learning Bd. 113, 26.3.2024, Nr. 5, date:5.2024: 2765-2794
	30399	When machine learning and neural networks marry real-time scheduling Enthalten in Real-time systems Bd. 61, 7.7.2025, Nr. 2, date:6.2025: 320-325
	30400	When not to use machine learning: A perspective on potential and limitations Enthalten in Materials Research Society: MRS bulletin Bd. 47, 21.10.2022, Nr. 9, date:9.2022: 968-974

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