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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

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Artikel 401 Groundwater–CO<sub>2</sub> emissions relationship in Dutch peatlands derived by machine learning using airborne and ground-based eddy covariance data
Enthalten in Biogeosciences Bd. 22, 2025, Nr. 15: 3867-3898. 32 S.
Online Ressource
Artikel 402 Marine snow morphology drives sinking and attenuation in the ocean interior
Enthalten in Biogeosciences Bd. 22, 2025, Nr. 14: 3485-3501. 17 S.
Online Ressource
Artikel 403 Predicting precursors of plant specialized metabolites using DeepMol automated machine learning
Enthalten in Journal of integrative bioinformatics Bd. 22, 2025, Nr. 2. 14 S.
Online Ressource
Artikel 404 Towards a more accurate and reliable evaluation of machine learning protein–protein interaction prediction model performance in the presence of unavoidable dataset biases
Enthalten in Journal of integrative bioinformatics Bd. 22, 2025, Nr. 2. 13 S.
Online Ressource
Artikel 405 Machine Learning‐Guided Design of Shell‐Based Multistable Lattices for Superior Energy Absorption and Reusability (Small 45/2025)
Enthalten in Small Bd. 21, 2025, Nr. 45. 1 S.
Online Ressource
Artikel 406 Rational Design of Lipid Nanoparticles for Enhanced mRNA Vaccine Delivery via Machine Learning (Small 8/2025)
Enthalten in Small Bd. 21, 2025, Nr. 8. 1 S.
Online Ressource
Artikel 407 Marine data assimilation in the UK: the past, the present, and the vision for the future
Enthalten in Ocean science Bd. 21, 2025, Nr. 4: 1709-1734. 26 S.
Online Ressource
Artikel 408 Drivers of the spatiotemporal distribution of dissolved nitrous oxide and air–sea exchange in a coastal Mediterranean area
Enthalten in Ocean science Bd. 21, 2025, Nr. 4: 1515-1532. 18 S.
Online Ressource
Artikel 409 Enhanced Positive Charge Performance in Triboelectric Series: Molecular Engineering of Conjugated Mesoporous Fibers for Machine Learning‐Based Wearable Sensors (Small 3/2025)
Enthalten in Small Bd. 21, 2025, Nr. 3. 1 S.
Online Ressource
Artikel 410 Analyzing key factors influencing IPL cricket scores using explainability and multimodal data
Enthalten in Journal of quantitative analysis in sports Bd. 21, 2025, Nr. 3: 253-267. 15 S.
Online Ressource


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