|
11 |
Search for dark matter with machine learning techniques in leptonic final states and missing transverse energy at the CMS experiment
Mohamed, Ashraf Kasem Abdellatif. - Hamburg : Deutsches Elektronen-Synchrotron DESY, April 2021
|
|
|
|
12 |
Application of machine learning enhanced agent-based techniques in hydrology and water resource management
Mewes, Benjamin. - Bochum : Lehrstuhl für Hydrologie, Wasserwirtschaft und Umwelttechnik, Ruhr-Universität Bochum, 2019
|
|
|
|
13 |
Machine learning techniques for the material parameter identification of laminated glass in the intact and post-fracture state
Kraus, Michael A.. - Neubiberg : Universität der Bundeswehr München, [2019]
|
|
|
|
14 |
Off-board car diagnostics based on heterogeneous, highly imbalanced and high-dimensional data using machine learning techniques
Schlegel, Bernhard. - Kassel : Kassel University Press, [2019]
|
|
|
|
15 |
Spatial prediction of the infestation risks of winter wheat by the pathogens Blumeria graminis f. sp. tritici (Powdery mildew) and Puccinia triticina (Brown rust) in Schleswig-Holstein using machine learning techniques
Hamer, Wolfgang Berengar. - Kiel : Selbstverlag des Geographischen Instituts der Universität Kiel, 2019
|
|
|
|
16 |
Machine learning and network biology techniques for exploration and analysis in omics data
Ciucci, Sara. - Dresden, [2018?]
|
|
|
|
17 |
Complex network embedding in the hyperbolic space using non-linear unsupervised machine learning techniques
Thomas, Josephine Maria. - Dresden, [2017]
|
|
|
|
18 |
A novel flavour tagging algorithm using machine learning techniques and a precision measurement of the B0-B̄0 oscillation frequency at the LHCb experiment
Kreplin, Katharina, 2015
|
|
|
|
19 |
Analysis and design of machine learning techniques
Stalph, Patrick. - Wiesbaden : Springer Vieweg, 2014
|
|
|
|
20 |
Machine learning techniques for time series classification
Botsch, Michael. - Göttingen : Cuvillier, 2009, 1. Aufl.
|
|
Administration
