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27631 |
Unravelling individual rhythmic abilities using machine learning
Enthalten in Scientific reports Bd. 14, 11.1.2024, Nr. 1, date:12.2024: 1-16
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27632 |
Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters
Enthalten in BMC anesthesiology Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-14
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27633 |
Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression
Enthalten in Nature Communications Bd. 16, 8.2.2025, Nr. 1, date:12.2025: 1-15
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27634 |
Unsupervised Clustering for a Comparative Methodology of Machine Learning Models to Detect Domain-Generated Algorithms Based on an Alphanumeric Features Analysis
Enthalten in Journal of network and systems management Bd. 32, 2.1.2024, Nr. 1, date:1.2024: 1-38
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27635 |
Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning
Enthalten in Scientific reports Bd. 8, 11.1.2018, Nr. 1, date:12.2018: 1-11
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27636 |
Unsupervised machine learning analysis of optical coherence tomography radiomics features for predicting treatment outcomes in diabetic macular edema
Enthalten in Scientific reports Bd. 15, 18.4.2025, Nr. 1, date:12.2025: 1-13
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27637 |
Unsupervised machine learning and cepstral analysis with 4D-STEM for characterizing complex microstructures of metallic alloys
Enthalten in npj computational materials Bd. 10, 18.9.2024, Nr. 1, date:12.2024: 1-10
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27638 |
Unsupervised machine learning and image recognition model application in English part-of-speech feature learning under the open platform environment
Enthalten in Soft computing Bd. 27, 26.4.2023, Nr. 14, date:7.2023: 10013-10023
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27639 |
Unsupervised machine learning and multi-seismic attributes for fault and fracture network interpretation in the Kerry Field, Taranaki Basin, New Zealand
Enthalten in Geomechanics and geophysics for geo-energy and geo-resources Bd. 9, 26.9.2023, Nr. 1, date:12.2023: 1-27
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27640 |
Unsupervised machine learning applied to scanning precession electron diffraction data
Enthalten in Advanced structural and chemical imaging Bd. 5, 15.3.2019, Nr. 1, date:12.2019: 1-14
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