Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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	781	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
	782	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
	783	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
	784	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
	785	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
	786	An ensemble framework for crop prediction based on soil’s physical and chemical properties using grasshopper optimization algorithm (GOA) Enthalten in International journal of information technology 19.3.2025: 1-6
	787	Application of the Stacking-Ensemble Machine Learning Algorithm to Investigate the Rock Mass Cuttability Index in Different Lithological Units Using Tunnel Boring Machine Performance Data Enthalten in Rock mechanics and rock engineering 19.3.2025: 1-31
	788	Commentary on “Machine Learning, Deep Learning, Artificial Intelligence and Aesthetic Plastic Surgery: A Qualitative Systematic Review” by Nogueira et al. (2025) Enthalten in Aesthetic plastic surgery 19.3.2025: 1-3
	789	Comprehensive machine learning assessment of zebrafish behaviour and biochemical markers in response to caffeine exposure Enthalten in Ecotoxicology 19.3.2025: 1-14
	790	Integrated AI and machine learning pipeline identifies novel WEE1 kinase inhibitors for targeted cancer therapy Enthalten in Molecular diversity 19.3.2025: 1-24

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