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71 |
MRI classification of progressive supranuclear palsy, Parkinson disease and controls using deep learning and machine learning algorithms for the identification of regions and tracts of interest as potential biomarkers Volkmann, Heiko. - Ludwig-Maximilians-Universität München, 2025
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72 |
Multi-Class Machine Learning to Quantify the Impact of Nitrogen Management Practices on Grassland Biomass Raubitzek, Sebastian. - Darmstadt : Universitäts- und Landesbibliothek, 2025
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73 |
Multi-Person Localization Based on a Thermopile Array Sensor with Machine Learning and a Generative Data Model Klir, Stefan. - Darmstadt : Universitäts- und Landesbibliothek, 2025
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74 |
Optimizing machine learning models for wheat yield estimation using a comprehensive UAV dataset Khodjaev, Shovkat. - Berlin : Springer, 2025
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75 |
PathInHydro, a Set of Machine Learning Models to Identify Unbinding Pathways of Gas Molecules in [NiFe] Hydrogenases Sohraby, Farzin. - Berlin : Technische Universität Berlin, 2025
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76 |
PINNs-MPF: An Efficient Physics-Informed Machine Learning-based Solver for Multi-Phase-Field Simulations using Tensorflow Elfetni, Seifallah. - Berlin : Bundesanstalt für Materialforschung und -prüfung (BAM), 2025
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77 |
Pitfalls in Machine Learning for Computer Security Arp, Daniel Christopher. - Berlin : Technische Universität Berlin, 2025
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78 |
Predicting grain boundary segregation in magnesium alloys: An atomistically informed machine learning approach Xie, Zhuocheng. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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79 |
Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder : a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment Blaß, Jakob. - Konstanz : KOPS Universität Konstanz, 2025
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80 |
Predicting tilling and seeding operation times in grain production: a comparison of machine learning and mechanistic models Scheurer, Luca. - Hohenheim : Universität Hohenheim, 2025
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