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Found 537 dataset(s) matching "evaluation metrics".
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This dataset consists of time series and evaluation metrics (in comma-separated value format [.csv]) which are described in the Bock and others (2018) Advances in Water Resources research article...
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Prognostic performance evaluation has gained significant attention in the past few years.*Currently, prognostics concepts lack standard definitions and suffer from ambiguous and inconsistent...
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This dataset represents the results from conducted simulations to evaluate the performance of Device-to-Device (D2D) communications in LTE when the User Equipment (UEs) are operating in...
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Prognostics has taken center stage in Condition Based Maintenance (CBM) where it is desired to estimate Remaining Useful Life (RUL) of a system so that remedial measures may be taken in advance to...
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Prognostics is an emerging concept in condition based maintenance (CBM) of critical systems. Along with developing the fundamentals of being able to confidently predict Remaining Useful Life...
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Prognostics is an emerging concept in condition basedmaintenance(CBM)ofcriticalsystems.Alongwith developing the fundamentals of being able to confidently predict Remaining Useful Life (RUL), the...
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This study developed interval-level measurement scales for evaluating police officer performance during real or simulated deadly force situations. Through a two-day concept mapping focus group,...
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Prognostics is an emerging concept in condition basedmaintenance(CBM)ofcriticalsystems.Alongwith developing the fundamentals of being able to confidently predict Remaining Useful Life (RUL), the...
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These data show the location (only) of Fish IBI study and monitoring sites within the park. The IBI provides a consistent theoretical framework for analyzing fish assemblage data. The IBI is an...
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These data are represented in tables and graphs in the article, "Targeted pathway-based in vivo testing using thyroperoxidase inhibition to evaluate plasma thyroxine as a surrogate metric of...
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This data release contains five groundwater particle-tracking models (MODPATH6) of northeastern Wisconsin, USA, that were developed to work with three MODFLOW models that have differing levels...
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Prognostics performance evaluation has gained significant attention in the past few years. *As prognostics technology matures and more sophisticated methods for prognostic uncertainty management...
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This data set provides the supporting data for the publication "What Makes a First Magnitude Sping?--Global Uncertainty Analysis of a Speleogenesis Model to Gain Insight into Karst Spring...
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This data release presents truth data and benchmark results describing simulation of hydrologic drought events in the conterminous United States. This data release supports a publication (Simeone...
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This data release presents truth data and benchmark results describing simulation of hydrologic drought events in the conterminous United States. This data release supports a publication (Simeone...
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This chapter presents several performance metrics for offline evaluation of prognostics algorithms. A brief overview of different methods employed for performance evaluation is also included....
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The DXC Framework is a collection of programs and APIs for running and evaluating diagnostic algorithms (DAs). It is complementary to system XML catalogs and datasets. A DXC Framework installer...
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<p>This data release component contains evaluation metrics used to assess the predictive performance of each stream temperature model. For further description, see the metric calculations in...
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These data were compiled to assess the status and trends of riparian plant communities along the Colorado River between Glen Canyon Dam and Lake Mead, AZ. Three metrics have been proposed to...
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A general framework for probabilistic prognosis using maximum entropy approach, MRE, is proposed in this paper to include all available information and uncertainties for RUL prediction. Prognosis...