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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"
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531 - 540 von 29198
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531
Advancements and future trends in machine learning for lung cancer: a comprehensive bibliometric analysis
Enthalten in Clinical and translational oncology 4.6.2025: 1-12
532
An approach based on machine learning and mel-frequency cepstral coefficients for locating faults in transmission lines
Enthalten in Energy systems 4.6.2025: 1-28
533
Anoikis-Related Genes Can Accurately Predict the Occurrence of Endometriosis: A Retrospective Cohort Study via Machine Learning Analysis
Enthalten in Biochemical genetics 4.6.2025: 1-20
534
Answer to the Letter to the Editor of H. Daungsupawong, et al. concerning “A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury” by Shimizu T, et al. (Eur Spine J [2025]: doi: 10.1007/s00586-025-08873-2)
Enthalten in European spine journal 4.6.2025: 1
535
Answer to the Letter to the Editor of W. Yue, et al. concerning “A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury” by Shimizu T, et al. (Eur Spine J [2025]: doi: 10.1007/s00586-025-08873-2)
Enthalten in European spine journal 4.6.2025: 1-2
536
CLRD-GLPS: A Long-term Seasonal Dataset of Ruminant Livestock Distribution in China's Grazing Production Systems (2000–2021) Using Stacking-based Interpretable Machine Learning
Enthalten in Earth system science data discussions 04.06.2025: 1-45. 45 S.
537
Investigating the association between groundwater contaminants and hypertension risk in India: a machine learning-based analysis
Enthalten in Journal of exposure science & environmental epidemiology 4.6.2025: 1-18
538
Letter to the Editor concerning “A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury” by Shimizu T, et al. (Eur Spine J [2025]: doi: 10.1007/s00586-025-08873-2)
Enthalten in European spine journal 4.6.2025: 1-2
539
Machine learning-driven power demand forecasting models for optimized power management
Enthalten in Electrical engineering 4.6.2025: 1-26
540
Machine Learning-Enhanced Surface Plasmon Resonance Sensor with D-Shaped Dual-Core Photonic Crystal Fiber Design
Enthalten in Journal of fluorescence 4.6.2025: 1-14
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