Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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15411 - 15420 von 16736

	15411	Quantitative texture analysis using machine learning for predicting interpretable pulmonary perfusion from non-contrast computed tomography in pulmonary embolism patients Enthalten in Respiratory research Bd. 25, 28.10.2024, Nr. 1, date:12.2024: 1-15
	15412	Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography Enthalten in Nature Communications Bd. 14, 16.11.2023, Nr. 1, date:12.2023: 1-11
	15413	Quantum-accurate machine learning potentials for metal-organic frameworks using temperature driven active learning Enthalten in npj computational materials Bd. 10, 8.10.2024, Nr. 1, date:12.2024: 1-13
	15414	Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning Enthalten in Quantum machine intelligence Bd. 5, 2.5.2023, Nr. 1, date:6.2023: 1-11
	15415	Quantum annealing versus classical machine learning applied to a simplified computational biology problem Enthalten in npj Quantum information Bd. 4, 21.2.2018, Nr. 1, date:12.2018: 1-10
	15416	Quantum computing and machine learning for Arabic language sentiment classification in social media Enthalten in Scientific reports Bd. 13, 12.10.2023, Nr. 1, date:12.2023: 1-18
	15417	Quantum data encoding: a comparative analysis of classical-to-quantum mapping techniques and their impact on machine learning accuracy Enthalten in EPJ Quantum Technology Bd. 11, 25.10.2024, Nr. 1, date:12.2024: 1-22
	15418	Quantum machine learning enhanced laser speckle analysis for precise speed prediction Enthalten in Scientific reports Bd. 14, 12.11.2024, Nr. 1, date:12.2024: 1-17
	15419	Quantum Machine Learning for b-jet charge identification Enthalten in Journal of high energy physics Bd. 2022, 1.8.2022, Nr. 8, date:8.2022: 1-24
	15420	Quantum machine learning for electronic structure calculations Enthalten in Nature Communications Bd. 9, 10.10.2018, Nr. 1, date:12.2018: 1-6