Katalog der Deutschen Nationalbibliothek

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Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.

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

1111 - 1120 von 3654

	1111	Route and operating optimization of maritime vessels using machine learning techniques Moradi, Mohammad Hossein. - Berlin : Logos Verlag, [2024]
	1112	Safety concept and simulation-based approval of an automated driving function for the transverse guidance of vehicles Khatun, Marzana. - Ulm : Universität Ulm, 2024
	1113	Safety-critical automotive software configuration for classic/adaptive AUTOSAR, machine learning or time/event-triggered applications Ćopić, Milan. - Aachen, [2024]
	1114	Sarkopenie bei gastroösophagealen Tumorpatienten Müller, Teresa. - Ulm : Universität Ulm, 2024
	1115	Scalable Learning of 6-DoF Object and Robotic Grasp Poses Sundermeyer, Martin Bernd. - München : Universitätsbibliothek der TU München, 2024
	1116	Search for Higgs boson production in association with b-Quarks in final states with leptons with machine learning techniques at CMS Bayat Makou, Maryam. - Hamburg : Verlag Deutsches Elektronen-Synchrotron DESY, May 2024
	1117	Search for Higgs Boson Production in Association with b-Quarks in Final States with Leptons with Machine Learning Techniques at CMS Bayat Makou, Maryam. - Hamburg : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2024
	1118	Search for pair production of heavy particles decaying to a top quark and a gluon and development of ML-based L1 trigger strategies at the CMS experiment Labe, Finn Jonathan. - Hamburg : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2024
	1119	Security viewpoints on explainable machine learning Warnecke, Alexander. - Berlin : Technische Universität Berlin, 2024
	1120	Segmentation in Tomography Data Wagner, Franz. - Dresden : Technische Universität Dresden, 2024