Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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	581	Integrated image processing and machine learning framework for precise quantification and prediction of soil erosion Enthalten in The visual computer 21.3.2025: 1-13
	582	Machine Learning of Smoking Relapse: the Role of Racial Differences and E-Cigarette Vaping Characteristics on Former Smokers Enthalten in Journal of racial and ethnic health disparities 21.3.2025: 1-19
	583	Empirical Comparison of Post-processing Debiasing Methods for Machine Learning Classifiers in Healthcare Enthalten in Journal of healthcare informatics research 20.3.2025: 1-29
	584	Exploratory data analysis, time series analysis, crime type prediction, and trend forecasting in crime data using machine learning, deep learning, and statistical methods Enthalten in Neural computing & applications 20.3.2025: 1-26
	585	Intelligent Machine Learning Strategies for Minimizing Machining Power in Minimum Quantity Lubrication Machining of Ti6Al4V Alloy Enthalten in Journal of materials engineering and performance 20.3.2025: 1-14
	586	Reconstruction of well-logging data using unsupervised machine learning-based outlier detection techniques (UML-ODTs) under adverse drilling conditions Enthalten in Applied geophysics 20.3.2025: 1-17
	587	A Comparative Study on the Predictive Ability of Machine Learning Techniques for Spatial Mapping of Soil Properties in Indian Himalayan Region Enthalten in Journal of agricultural, biological, and environmental statistics 19.3.2025: 1-21
	588	A comprehensive review on step-based skin cancer detection using machine learning and deep learning methods Enthalten in Archives of computational methods in engineering 19.3.2025: 1-54
	589	A machine learning approach for determining solitary pulmonary nodule malignancy in patients undergoing PET/CT examination Enthalten in Multimedia tools and applications 19.3.2025: 1-20
	590	A novel technique for rapidly diagnosing a QoS-enabled network’s link congestion by calculating the size of TCP packets and automating the troubleshooting using a python script Enthalten in International journal of information technology 19.3.2025: 1-15

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