Katalog der Deutschen Nationalbibliothek

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

36491 - 36500 von 37767

	36491	Supervised machine learning-based Hall thruster scaling Enthalten in Journal of electric propulsion Bd. 3, 1.8.2024, Nr. 1, date:12.2024: 1-23
	36492	Supervised machine learning-based salp swarm algorithm for fault diagnosis of photovoltaic systems Enthalten in Journal of engineering and applied science Bd. 71, 5.1.2024, Nr. 1, date:12.2024: 1-17
	36493	Supervised Machine Learning Classification Algorithmic Approach for Finding Anomaly Type of Intrusion Detection in Wireless Sensor Network Enthalten in Optical memory and neural networks Bd. 29, 8.10.2020, Nr. 3, date:7.2020: 244-256
	36494	Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP) Enthalten in Scientific reports Bd. 13, 10.8.2023, Nr. 1, date:12.2023: 1-11
	36495	Supervised machine learning for analysing spectra of exoplanetary atmospheres Enthalten in Nature astronomy Bd. 2, 25.6.2018, Nr. 9, date:9.2018: 719-724
	36496	Supervised Machine Learning mit Nutzergenerierten Inhalten: Oversampling für nicht balancierte Trainingsdaten Enthalten in Publizistik Bd. 65, 21.4.2020, Nr. 2, date:5.2020: 233-251
	36497	Supervised Machine Learning Mode for Predicting Gas-Liquid Flow Patterns in Upward Inclined Pipe Enthalten in Chemistry and technology of fuels and oils Bd. 59, 19.12.2023, Nr. 5, date:11.2023: 1058-1069
	36498	Supervised machine learning model to predict oncotype DX risk category in patients over age 50 Enthalten in Breast cancer research and treatment Bd. 191, 9.11.2021, Nr. 2, date:1.2022: 423-430
	36499	Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset Enthalten in SN Computer Science Bd. 2, 27.11.2020, Nr. 1, date:2.2021: 1-13
	36500	Supervised machine learning of outbred mouse genotypes to predict hepatic immunological tolerance of individuals Enthalten in Scientific reports Bd. 14, 17.10.2024, Nr. 1, date:12.2024: 1-9