Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

1261 - 1270 von 13168

	1261	From perturbative methods to machine learning techniques in space science Enthalten in Unione Matematica Italiana: Bollettino dell'Unione Matematica Italiana 23.7.2024: 1-18
	1262	A high-quality gap-filled daily ETo dataset for China during 1951–2021 from synoptic stations using machine learning models Enthalten in Earth system science data discussions 22.07.2024: 1-30. 30 S.
	1263	A systematic literature review of predicting patient discharges using statistical methods and machine learning Enthalten in Health care management science 22.7.2024: 1-21
	1264	Carbonate reservoir characterization and permeability modeling using Machine Learning ـــ a study from Ras Fanar field, Gulf of Suez, Egypt Enthalten in Earth science informatics 22.7.2024: 1-20
	1265	High‐Throughput First‐Principles Calculations and Machine Learning of Grain Boundary Segregation in Metals Enthalten in Advanced engineering materials 20.07.2024. 18 S.
	1266	Machine‐Learning Aided First‐Principles Prediction of Earth‐Abundant Pnictogen Chalcohalide Solid Solutions for Solar‐Cell Devices Enthalten in Advanced functional materials 19.07.2024. 14 S.
	1267	Technical note: Towards atmospheric compound identification in chemical ionization mass spectrometry with machine learning Enthalten in EGUsphere 18.07.2024: 1-31. 31 S.
	1268	Tracking spatiotemporal dynamics of crop-specific areas through machine learning and statistics disaggregating Enthalten in Earth system science data discussions 18.07.2024: 1-30. 30 S.
	1269	Clustering Methods for the Characterization of Synchrotron Radiation X‐Ray Fluorescence Images of Human Carotid Atherosclerotic Plaque Enthalten in Advanced intelligent systems 17.07.2024. 11 S.
	1270	Prediction of Left Ventricle Pressure Indices Via a Machine Learning Approach Combining ECG, Pulse Oximetry, and Cardiac Sounds: a Preclinical Feasibility Study Enthalten in Journal of cardiovascular translational research 17.7.2024: 1-9

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