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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.
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"Machine Learning"
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25311 - 25320 von 29259
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25311
Parkinson’s disease prediction and drug personalization using machine learning techniques
Enthalten in Soft computing Bd. 27, 2.7.2023, Nr. 17, date:9.2023: 12669-12675
25312
Parkinson’s disease subtypes and their association with probable rapid eye movement sleep behavior disorder severity: a brainstem tractography and machine learning investigation
Enthalten in Brain imaging and behavior Bd. 19, 19.12.2024, Nr. 1, date:2.2025: 189-194
25313
Parsimony as the ultimate regularizer for physics-informed machine learning
Enthalten in Nonlinear dynamics Bd. 107, 20.1.2022, Nr. 3, date:2.2022: 1801-1817
25314
Part 4: Reinforcement learning: Machine learning and natural learning
Enthalten in New generation computing Bd. 24, 1.9.2006, Nr. 3, date:9.2006: 325-350
25315
Part of speech tagging: a systematic review of deep learning and machine learning approaches
Enthalten in Journal of Big Data Bd. 9, 24.1.2022, Nr. 1, date:12.2022: 1-25
25316
Partial discharge localization in power transformer tanks using machine learning methods
Enthalten in Scientific reports Bd. 14, 23.5.2024, Nr. 1, date:12.2024: 1-13
25317
Partial Petri Net Languages and their Properties
Enthalten in International journal of information technology Bd. 16, 5.6.2024, Nr. 6, date:8.2024: 3663-3676
25318
Partial product based improved reconfigurable FIR filter with control logic for automated guided vehicles on virtex-7 FPGA
Enthalten in International journal of information technology Bd. 15, 30.4.2023, Nr. 4, date:4.2023: 2077-2088
25319
Partial transport for point-cloud registration
Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 18.2.2025, Nr. 1, date:6.2025: 1-51
25320
Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition
Enthalten in Scientific reports Bd. 9, 5.3.2019, Nr. 1, date:12.2019: 1-10
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