Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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	311	Comprehensive insights into healthcare IoT: the role of machine learning and deep learning approaches Enthalten in Multimedia tools and applications 12.4.2025: 1-42
	312	Identification of antibiotic resistance profiles in diabetic foot infections: A machine learning proof-of-concept analysis Enthalten in International journal of diabetes in developing countries 12.4.2025: 1-8
	313	Potential Soil Loss Estimation Using Machine Learning and Geospatial Technology in Part of the Eastern Plateau and Hill Region of West Bengal Enthalten in Indian Society of Remote Sensing: Journal of the Indian Society of Remote Sensing 12.4.2025: 1-21
	314	Assessing the predictive capability of several machine learning algorithms to forecast snow avalanches using numerical weather prediction model in eastern Canada Enthalten in EGUsphere 10.04.2025: 1-28. 28 S.
	315	Theoretical Calculations in Separation Science for Analytical Chemistry: Applications and Insights Enthalten in Chemistry 09.04.2025. 25 S.
	316	A protection scheme based on machine learning-based algorithm for fault detection in microgrid considering line to ground faults and weather scenarios in the Asian region Enthalten in Electrical engineering 9.4.2025: 1-16
	317	Assessing the impact of maintenance condition on multifamily rents: an integrated approach of machine learning and hedonic modelling Enthalten in Journal of housing and the built environment 9.4.2025: 1-18
	318	Integrating life cycle assessment (LCA) and machine learning for sustainable designs: a case study on protective layers made of mineral-bonded fiber-reinforced composites Enthalten in The international journal of life cycle assessment 9.4.2025: 1-20
	319	Prediction of Urban Surface Water Quality Scenarios Using Water Quality Index (WQI), Multivariate Techniques, and Machine Learning (ML) Models in Water Resources, in Baitarani River Basin, Odisha: Potential Benefits and Associated Challenges Enthalten in Earth systems and environment 9.4.2025: 1-37
	320	A Comparative Analysis of Machine Learning Models for Simulating, Classifying, and Assessment River Inflow Enthalten in Water resources management 8.4.2025: 1-19

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