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"Machine Learning"
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12461 - 12470 von 13299
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12461
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning
Enthalten in Journal of intelligent manufacturing Bd. 34, 9.11.2022, Nr. 1, date:1.2023: 387-413
12462
Stabilization of nonlinear safety-critical systems by relaxed converse Lyapunov-barrier approach and its applications in robotic systems
Enthalten in Autonomous intelligent systems Bd. 4, 19.11.2024, Nr. 1, date:12.2024: 1-8
12463
Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia
Enthalten in BMC cardiovascular disorders Bd. 22, 5.2.2022, Nr. 1, date:12.2022: 1-10
12464
Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs
Enthalten in Scientific reports Bd. 13, 17.6.2023, Nr. 1, date:12.2023: 1-17
12465
Stacked machine learning models for accurate estimation of shear and Stoneley wave transit times in DSI log
Enthalten in Scientific reports Bd. 15, 14.3.2025, Nr. 1, date:12.2025: 1-22
12466
Stacked machine learning models for predicting species richness and endemism for Mediterranean endemic plants in the Mareotis subsector in Egypt
Enthalten in Plant ecology Bd. 224, 14.11.2023, Nr. 12, date:12.2023: 1113-1126
12467
Stacking classifiers based on integrated machine learning model: fusion of CT radiomics and clinical biomarkers to predict lymph node metastasis in locally advanced gastric cancer patients after neoadjuvant chemotherapy
Enthalten in BMC cancer Bd. 25, 6.5.2025, Nr. 1, date:12.2025: 1-12
12468
Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes
Enthalten in European journal of nuclear medicine and molecular imaging Bd. 47, 28.12.2019, Nr. 8, date:7.2020: 1971-1983
12469
Staging of colorectal cancer using lipid biomarkers and machine learning
Enthalten in Metabolomics Bd. 19, 20.9.2023, Nr. 10, date:10.2023: 1-11
12470
State-of-the-art for automated machine learning predicts outcomes in poor-grade aneurysmal subarachnoid hemorrhage using routinely measured laboratory & radiological parameters: coagulation parameters and liver function as key prognosticators
Enthalten in Neurosurgical review Bd. 48, 17.3.2025, Nr. 1, date:12.2025: 1-11
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