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1 |
Machine learning techniques for time series forecasting in power systems operation
Gürses-Tran, Gonca. - Aachen : E.ON Energy Research Center, RWTH Aachen University, 2024, 1. Auflage
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2 |
Route and operating optimization of maritime vessels using machine learning techniques
Moradi, Mohammad Hossein. - Berlin : Logos Verlag, [2024]
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3 |
Search for Higgs boson production in association with b-Quarks in final states with leptons with machine learning techniques at CMS
Bayat Makou, Maryam. - Hamburg : Verlag Deutsches Elektronen-Synchrotron DESY, May 2024
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4 |
Machine learning techniques for time series classification
Botsch, Michael. - Göttingen : Cuvillier Verlag, 2023, 2. Auflage
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5 |
Measurement of the tt̄H(bb̄) process in the dilepton final state with machine learning techniques at the CMS Experiment
Giraldi, Angela. - Hamburg, Germany : Verlag Deutsches Elektronen-Synchrotron DESY, April 2023
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6 |
Essays on the application of machine learning techniques in the empirical asset pricing research
Otto, Tizian. - Hamburg, October 31, 2022
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7 |
Tau reconstruction in CMS exploiting machine learning techniques
Chen, Ze. - Hamburg : Deutsches Elektronen-Synchrotron DESY, October 2022
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8 |
Novel applications of machine learning techniques in epidemiology of age-related diseases: from multidimensional data modelling to risk prediction
Reichmann, Robin. - Potsdam, 26.03.2021
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9 |
Optimizing the machine learning techniques in the H → π analysis with CMS data
Bayat Makou, Maryam. - Hamburg : Deutsches Elektronen-Synchrotron, February 2021
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10 |
Prediction of business processes
Brunk, Jens Marten Lorenz. - Münster, 2021
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Administration
