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Titlebook: Measurement, Modelling and Evaluation of Computing Systems; 20th International G Holger Hermanns Conference proceedings 2020 Springer Natur

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Andreas Blume,Peter Buchholz,Jan Kriegegrams that depict the forms and life cycles of features visi“Observing the Sun” is for amateur astronomers at all three levels: beginning, intermediate, and advanced. .The beginning observer is often trying to find a niche or define a specific interest in his hobby, and the content of this book will
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Amin Soltanieh,Markus Sieglegrams that depict the forms and life cycles of features visi“Observing the Sun” is for amateur astronomers at all three levels: beginning, intermediate, and advanced. .The beginning observer is often trying to find a niche or define a specific interest in his hobby, and the content of this book will
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Falko Bausegrams that depict the forms and life cycles of features visi“Observing the Sun” is for amateur astronomers at all three levels: beginning, intermediate, and advanced. .The beginning observer is often trying to find a niche or define a specific interest in his hobby, and the content of this book will
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Carlos E. Budde,Mariëlle Stoelingalogy.Explores the wisdom of the experimental practice of ooc​Fertility preservation has become one of the most important and fast growing fields of reproductive medicine.  Although thereare several strategies for fertility preservation in female, most of them are still considered experimental.  It i
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logy.Explores the wisdom of the experimental practice of ooc​Fertility preservation has become one of the most important and fast growing fields of reproductive medicine.  Although thereare several strategies for fertility preservation in female, most of them are still considered experimental.  It i
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Performance Analytics of a Virtual Reality Streaming Model,tic Fluid Flow Model (SFFM) of Virtual Reality (VR) streaming. Performance Analytics implies using the Machine Learning (ML) algorithm M5P for constructing model trees, which we examine amongst others for asymptotic behaviours and parameter impacts in both uni- and multivariate settings. We gain val
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To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows,ontinuously increases. Techniques as the Self-Monitoring, Analysis, and Reporting Technology (S.M.A.R.T.) support the monitoring of the hardware. However, those techniques often lack algorithms for intelligent data analytics. Especially, the integration of machine learning to identify potential fail
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