|
11541 |
Stabilisation of transverse mode purity in a radially polarised Ho:YAG laser using machine learning
Enthalten in Applied physics / B / Lasers and optics Bd. 128, 28.5.2022, Nr. 6, date:6.2022: 1-8
|
|
|
|
11542 |
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
|
|
|
|
11543 |
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
|
|
|
|
11544 |
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
|
|
|
|
11545 |
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
|
|
|
|
11546 |
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
|
|
|
|
11547 |
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
|
|
|
|
11548 |
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
|
|
|
|
11549 |
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
|
|
|
|
11550 |
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
|
|
Administration
