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1601 |
A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning
Edrich, Ann-Kathrin. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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1602 |
A novel dataset of annotated oyster mushroom images with environmental context for machine learning applications
Duman, Sonay. - Hohenheim : Universität Hohenheim, 2024
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1603 |
A Practical and Robust Approach for Solving the Multi-Compartment Vehicle Routing Problem Under Demand Uncertainty using Machine Learning
Chamurally, Shabanaz. - Hildesheim : Universitätsbibliothek Hildesheim, 2024
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1604 |
A review and tutorial on machine learning-enabled radar-based biomedical monitoring
Krauss, Daniel. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2024
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1605 |
Abilities and Disabilities—Applying Machine Learning to Disentangle the Role of Intelligence in Diagnosing Autism Spectrum Disorders
Wolff, Nicole. - Dresden : Technische Universität Dresden, 2024
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1606 |
Above‐ground biomass retrieval with multi‐source data: Prediction and applicability analysis in Eastern Mongolia
Ji, Shuxin. - Ludwig-Maximilians-Universität München, 2024
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1607 |
Accelerating wavepacket propagation with machine learning
Singh, K., 2024
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1608 |
Accurate distances measures and machine learning of the texture-property relation for crystallographic textures represented by one-point statistics
Iraki, Tarek. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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1609 |
Adsorbate Configurations in Ni Single Atom Catalysts during CO2 Electrocatalytic Reduction Unveiled by Operando XAS, XES, and Machine Learning
Martini, A., 2024
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1610 |
An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning
El-Hajj, Hassan. - Berlin : Technische Universität Berlin, 2024
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Administration
