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71 |
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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72 |
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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73 |
Optimizing machine learning models for wheat yield estimation using a comprehensive UAV dataset
Khodjaev, Shovkat. - Berlin : Springer, 2025
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74 |
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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75 |
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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76 |
Pitfalls in Machine Learning for Computer Security
Arp, Daniel Christopher. - Berlin : Technische Universität Berlin, 2025
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77 |
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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78 |
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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79 |
Prediction of statistical force–displacement curves of Charpy-V impact tests based on unsupervised fracture surface machine learning
Rosenberger, Johannes. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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80 |
Quality prediction for milling processes: automated parametrization of an end-to-end machine learning pipeline
Fertig, Alexander. - Darmstadt : Universitäts- und Landesbibliothek, 2025
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