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211 |
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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212 |
Phenotypes from big data as a basis for machine learning in spinal imaging
Tao, Youping. - Ulm, 2021
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213 |
Potentiale von Machine Learning Modellen zur Prognose von Lastgängen bei Fertigungsprozessen
Ellerich, Max. - Aachen : Apprimus Verlag, 2021, 1. Auflage
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214 |
Prediction of business processes
Brunk, Jens Marten Lorenz. - Münster, 2021
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215 |
Predictive analytics of readmission risk in hospitals for an intelligent decision support system
Eigner, Isabella. - Hamburg : Verlag Dr. Kovač, 2021
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216 |
Quantitative sensorische Reaktionsmuster auf Capsaicin- und Ultraviolett-B-induzierte lokale Hyperalgesie in einem humanexperimentellen Schmerzmodell
Hilbert, Sarah. - Frankfurt am Main, 2021
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217 |
Reinforcement learning aided performance optimization of feedback control systems
Hua, Changsheng. - Wiesbaden : Springer Vieweg, [2021]
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218 |
Reinigungsmonitoring und -optimierung in Dampferzeugern mittels maschineller Lernverfahren
Kehr, Torsten. - Dresden, 2021
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219 |
Resource-efficient vehicle-to-cloud communications leveraging machine learning
Sliwa, Benjamin. - Düren : Shaker Verlag, 2021
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220 |
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
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