Search results
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Title
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DATA REPLICATION FOR COPING WITH UNCERTAINTY IN SCHEDULING
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Author
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Chaubey, Manmohan
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Date Created
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2014
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Description
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Scheduling theory is a common tool to analyze the performance of parallel and distributed computing systems, such as their load balance. How to distribute the input data to be able to execute a set of tasks in a minimum amount of time can be model...
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Title
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DATA REPLICATION FOR COPING WITH UNCERTAINTY IN SCHEDULING
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Author
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Chaubey, Manmohan
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Date Created
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2014
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Description
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Scheduling theory is a common tool to analyze the performance of parallel and distributed computing systems, such as their load balance. How to distribute the input data to be able to execute a set of tasks in a minimum amount of time can be model...
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Title
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MODELING UNCERTAINTY IN DEEP LEARNING MODELS OF ELECTRONIC HEALTH RECORDS
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Author
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Qiu, Riyi
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Date Created
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2020
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Description
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Recent research development has demonstrated the advantages of deep learning models in prediction tasks on electronic health records (EHR) in the medical domain. However, the prediction results tend to be difficult to explain due to the complex ne...
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Title
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Reanalysis of the Extended Multivariate ENSO Index
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Author
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Webb, Eric
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Date Created
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2020
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Description
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The El Nino Southern Oscillation (ENSO) is the most robust, coupled ocean-atmospheric component of intraseasonal-interannual variability on the globe. Therefore, an index that effectively characterizes a large fraction of ENSO’s total variability ...
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Title
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Test uncertainty ratio (TUR) and test uncertainty
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Author
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Khanam, Samira
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Date Created
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2009
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Description
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Measurement uncertainty is a natural parameter that can be used to characterize any measure¬ment process. Continually increasing demands of higher and higher dimensional accuracy in manufactured components places similar demands on the field of di...
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Title
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Test uncertainty ratio (TUR) and test uncertainty
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Author
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Khanam, Samira
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Date Created
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2009
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Description
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Measurement uncertainty is a natural parameter that can be used to characterize any measure¬ment process. Continually increasing demands of higher and higher dimensional accuracy in manufactured components places similar demands on the field of di...
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Title
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The fundamental application of decision analysis to manufacturing.
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Author
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Karandikar, Jaydeep
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Date Created
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2013
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Description
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Machining models are available to predict nearly every aspect of machining processes. In milling, for example, models are available to relate stability, part accuracy (from forced vibrations during stable machining), and tool wear to the selected ...