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651 |
Trustworthy Machine Learning Operations for Predictive Maintenance Solutions
Fathi, Kiavash. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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652 |
Tuning machine learning to address process mining requirements
Ceravolo, Paolo. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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653 |
Unlocking the potential of unlabeled data: Self-supervised machine learning for battery aging diagnosis with real-world field data
Wang, Qiao. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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654 |
Using a machine learning regression approach to predict the aroma partitioning in dairy matrices
Anker, Marvin. - Hohenheim : Universität Hohenheim, 2024
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655 |
Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data
Fuchs, Lukas. - Ulm : Universität Ulm, 2024
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656 |
Using ensemble of hand-feature engineering and machine learning classifiers for refining the subthalamic nucleus location from micro-electrode recordings in Parkinson's disease
Benouis, Mohamed. - Augsburg : Universität Augsburg, 2024
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657 |
Using Machine Learning and Feature Importance to Identify Risk Factors for Mortality in Pediatric Heart Surgery
Kapsner, Lorenz A.. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2024
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658 |
Utilizing advanced machine learning approaches to assess the seismic fragility of non-engineered masonry structures
Harirchian, Ehsan. - Weimar : Bauhaus-Universität Weimar, 2024
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659 |
Validation of Machine Learning‐Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care
Bauer, Jonathan F.. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2024
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660 |
Validation of machine learning-based assessment of major depressive disorder from paralinguistic speech characteristics in routine care
Bauer, Jonathan F.. - Augsburg : Universität Augsburg, 2024
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