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1621 |
Hyperparameter optimization of two-branch neural networks in multi-target prediction
Iliadis, Dimitrios. - Ludwig-Maximilians-Universität München, 2024
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1622 |
Identification and prediction of association patterns between nutrient intake and anemia using machine learning techniques: results from a cross-sectional study with university female students from Palestine
Qasrawi, Radwan. - Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2024
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1623 |
Identification of a machine learning-based diagnostic model for axial spondyloarthritis in rheumatological routine care using a random forest approach
Redeker, Imke. - Bochum : Ruhr-Universität Bochum, 2024
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1624 |
Identifying CBT non-response among OCD outpatients: A machine-learning approach
Hilbert, Kevin. - Berlin : Humboldt-Universität zu Berlin, 2024
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1625 |
Implementing machine learning techniques for continuous emotion prediction from uniformly segmented voice recordings
Diemerling, Hannes. - Berlin : Humboldt-Universität zu Berlin, 2024
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1626 |
Improved carbide volume fraction estimation in as-cast HCCI alloys using machine learning techniques
Nayak, U. Pranav. - Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2024
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1627 |
Improving forecasts of precipitation extremes over northern and central Italy using machine learning
Grazzini, Federico. - Ludwig-Maximilians-Universität München, 2024
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1628 |
Improving the transfer of machine learning-based video QoE estimation across diverse networks
Seufert, Michael Thomas. - Augsburg : Universität Augsburg, 2024
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1629 |
Influence of Sampling Methods on the Accuracy of Machine Learning Predictions Used for Strain-Dependent Slope Stability
Shakya, Sudan. - Darmstadt : Universitäts- und Landesbibliothek, 2024
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1630 |
Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India
Singha, Chiranjit. - Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2024
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