Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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43561 - 43570 von 43633

	43561	When physics meets machine learning: a survey of physics-informed machine learning Enthalten in Machine learning for computational science and engineering Bd. 1, 7.5.2025, Nr. 1, date:6.2025: 1-23
	43562	When the crowd gets it wrong – the limits of collective wisdom in machine learning Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-11
	43563	When will China’s industrial carbon emissions peak? Evidence from machine learning Enthalten in Environmental science and pollution research Bd. 30, 27.3.2023, Nr. 20, date:4.2023: 57960-57974
	43564	Where Is the Geography? A Study of the Predictors of Obesity Using UK Biobank Data and Machine Learning Enthalten in Journal of geovisualization and spatial analysis Bd. 7, 12.6.2023, Nr. 2, date:12.2023: 1-21
	43565	Where you go is who you are: a study on machine learning based semantic privacy attacks Enthalten in Journal of Big Data Bd. 11, 12.3.2024, Nr. 1, date:12.2024: 1-31
	43566	Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms? Enthalten in Biomedical engineering online Bd. 22, 29.8.2023, Nr. 1, date:12.2023: 1-25
	43567	Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models Enthalten in Environmental science and pollution research Bd. 31, 15.2.2024, Nr. 13, date:3.2024: 19500-19515
	43568	Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach Enthalten in Cardiovascular diabetology Bd. 23, 21.6.2024, Nr. 1, date:12.2024: 1-13
	43569	Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model Enthalten in Medical & biological engineering & computing Bd. 60, 11.5.2022, Nr. 7, date:7.2022: 2039-2049
	43570	Whole-Genome Expression Microarray Combined with Machine Learning to Identify Prognostic Biomarkers for High-Grade Glioma Enthalten in Journal of molecular neuroscience Bd. 64, 3.3.2018, Nr. 4, date:4.2018: 491-500

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