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2241 |
Improved control of biotechnological processes using hybrid simulation modelling and machine learning on the example of a novel industrial wastewater treatment system Pettigrew, Liam. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2019
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2242 |
Improving the Capabilities of Distributed Collaborative Intrusion Detection Systems using Machine Learning Garcia Cordero, Carlos. - Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2019
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2243 |
Interpolation-Assisted Evolutionary Rule-Based Machine Learning - Strategies to Counter Knowledge Gaps in XCS-Based Self-Learning Adaptive Systems Stein, Anthony. - Augsburg : Universität Augsburg, 2019
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2244 |
Interpretable Machine Learning Methods for Prediction and Analysis of Genome Regulation in 3D Nikumbh, Sarvesh. - Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2019
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2245 |
Investigation of BCRP-inhibitors using QSAR and machine learning methods Marighetti, Federico. - Bonn : Universitäts- und Landesbibliothek Bonn, 2019
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2246 |
Investigation of hidden multipolar spin order in frustrated magnets using interpretable machine learning techniques Greitemann, Jonas. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019
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2247 |
Konzeption eines Verfahrens zur ähnlichkeitsbasierten Cluster-Analyse von Vitaldaten und dessen Validierung am Beispiel von Schmerzmittelgaben nach herzchirurgischen Eingriffen Schrumpf, Fabian. - Rostock : Universität Rostock, 2019
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2248 |
Learning representations for supervised information fusion using tensor decompositions and deep learning methods Baier, Stephan. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019
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2249 |
Leveraging sparse and dense features for reliable state estimation in urban environments Radwan, Noha. - Freiburg : Universität, 2019
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2250 |
Machine learning and Monte Carlo based data analysis methods in cosmic dust research Albin, Thomas. - Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2019
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