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Results predictive performance attribute sensitivity analysis

A formal sensitivity analysis for Laguerre based predictive functional control

A formal sensitivity analysis for Laguerre based predictive functional control

... formal sensitivity analysis of LPFC by considering the effect of noise, unmeasured disturbance and parameter ...uncertainty. Sensitivity plots from bode diagrams and closed-loop simulation are used ...

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Sensitivity Analysis of GRA Method for Interval Valued Intuitionistic Fuzzy MADM: The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives

Sensitivity Analysis of GRA Method for Interval Valued Intuitionistic Fuzzy MADM: The Results of Change in the Weight of One Attribute on the Final Ranking of Alternatives

... multiple attribute decision making problems with intuitionistic fuzzy information, in which the information about attribute weights are incompletely known, and the attribute values take the form of ...

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CiteSeerX — Predictive versus Reactive - Analysis of Handover Performance and

CiteSeerX — Predictive versus Reactive - Analysis of Handover Performance and

... network performance. Mobile IPv6 handover performance is strongly topology dependent and results in in- ferior service quality in wide area ...networks predictive, reactive and proxy schemes ...

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Using The Important Performance Analysis To Improve Product and Service Attribute Performance in Regional-Owned Enterprise

Using The Important Performance Analysis To Improve Product and Service Attribute Performance in Regional-Owned Enterprise

... of performance carried out for a year and as a material for review whether BUMD XYZ had satisfied customer expectations or still need to improve its ...comparison results are ...

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Bivariate meta-analysis of predictive values of diagnostic tests can be an alternative to bivariate meta-analysis of sensitivity and specificity

Bivariate meta-analysis of predictive values of diagnostic tests can be an alternative to bivariate meta-analysis of sensitivity and specificity

... These covariates will have a very different meaning when applied in a model for the meta-analysis of predictive values than when applied to sensitivity and specificity. In models comparing multiple ...

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Well Performance Predictive Modeling Using Topological Data Analysis

Well Performance Predictive Modeling Using Topological Data Analysis

... data analysis is one of the most important topics in diverse industries, multi- dimensional and heterogeneous reservoir data challenges reservoir engineers to analyze ...the analysis results in an ...

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ALOJA: A benchmarking and predictive platform for big data performance analysis

ALOJA: A benchmarking and predictive platform for big data performance analysis

... initial results, and some lessons learned while benchmarking Hadoop for over a year continuously; iterat- ing software configuration options and over a hundred different hardware cluster ...tract ...

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Performance Analysis of Cure and Rock Algorithms on Constructing a New Attribute with Mixed Datasets

Performance Analysis of Cure and Rock Algorithms on Constructing a New Attribute with Mixed Datasets

... solve attribute construction ...clustering results on the categorical and numeric dataset are combined as a categorical dataset, on which the designed for one type of features to handle numeric and ...

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D4.2 Final conclusions on end-to-end performance and sensitivity analysis

D4.2 Final conclusions on end-to-end performance and sensitivity analysis

... the results of this analysis in Table ...system performance degradation due to bandwidth downscaling can be ...the performance gain related to multiuser diversity is ...performed ...

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Statistical Analysis: Sensitivity, Specificity, Mean, Student unpaired T test, Chi square test and p- values Results: In this study, sensitivity and negative predictive value of both IL-6 and TNF-α was 100%.

Statistical Analysis: Sensitivity, Specificity, Mean, Student unpaired T test, Chi square test and p- values Results: In this study, sensitivity and negative predictive value of both IL-6 and TNF-α was 100%.

... low sensitivity and false negativity with a turnaround time of 48-72 hours, is losing its place in rapid diagnosis of neonatal ...promising results in rapid diagnosis with early rise, before the newborn ...

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Attribute Heaving Extraction and Performance Analysis for the Prophesy of Roof Fall Rate using Principal Component Analysis

Attribute Heaving Extraction and Performance Analysis for the Prophesy of Roof Fall Rate using Principal Component Analysis

... it results in severe damages to the life of the ...Component Analysis (PCA), Kernel Principal Component Analysis, Sparse Principal Component Analysis, Mini Batch Sparse Principal Component ...

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PERFORMANCE ANALYSIS OF PREDICTIVE DATA MINING MODEL USING CONFUSION MATRIX

PERFORMANCE ANALYSIS OF PREDICTIVE DATA MINING MODEL USING CONFUSION MATRIX

... either predictive or descriptive in nature. A predictive model makes prediction about values of data using known results found from different data and other historical ...The predictive models ...

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Predictive Modeling and Analysis of Student Academic Performance in an Engineering Dynamics Course

Predictive Modeling and Analysis of Student Academic Performance in an Engineering Dynamics Course

... A number of studies, such as those shown in Table 2, have investigated the effect of prior domain knowledge on student academic performance. Two of these studies (Hailikari, Nevgi, & Komulainen, 2008; ...

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Global sensitivity analysis, probabilistic calibration, and predictive assessment for the data assimilation linked ecosystem carbon model

Global sensitivity analysis, probabilistic calibration, and predictive assessment for the data assimilation linked ecosystem carbon model

... We first discussed global sensitivity analysis (GSA) results for the complete set of input parameters. Based on their con- tribution to the variance, we find that different parameters have larger ...

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Key words: CT; lung neoplasms; meta-analysis; predictive value of tests; radiograph; sensitivity; specificity

Key words: CT; lung neoplasms; meta-analysis; predictive value of tests; radiograph; sensitivity; specificity

... the performance characteristics of combined CT and PET scanning for mediastinal staging, the combination of the two imaging tests may achieve greater staging accuracy than either test ...cost-effectiveness ...

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Direct quality prediction in resistance spot welding process: Sensitivity, specificity and predictive accuracy comparative analysis

Direct quality prediction in resistance spot welding process: Sensitivity, specificity and predictive accuracy comparative analysis

... the performance of the classifier for the complete range of operational points or decision thresholds taking into account the trade-off between the two types of ...and sensitivity. The analysis is ...

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Global Sensitivity Analysis of Mechanistic–Empirical Performance Predictions for Flexible Pavements

Global Sensitivity Analysis of Mechanistic–Empirical Performance Predictions for Flexible Pavements

... pavement analysis and performance predictions for various feasible design ...MEPDG performance predictions for the anticipated climatic and traffic conditions depends on the values of the input ...

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Sensitivity and predictive uncertainty of the ACASA model at a spruce forest site

Sensitivity and predictive uncertainty of the ACASA model at a spruce forest site

... The sensitivity analysis follow- ing the GLUE methodology revealed a strong sensitivity to only a few parameters, such as the leaf area index, the basal respiration rates and the slope of the ...

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Sensitivity results in stochastic analysis

Sensitivity results in stochastic analysis

... I am grateful to Deutsche Forschungsgemeinschaft, which through the RTG 1953 Statistical Modeling of Complex Systems funded my research, enabled the research group to hold many interesting seminars on variety of ...

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Simulating housing prices in Lyon with UrbanSim: predictive capacity and sensitivity analysis

Simulating housing prices in Lyon with UrbanSim: predictive capacity and sensitivity analysis

... Lyon. Sensitivity analysis demonstrates the model’s ability to capture changes in employment accessibility on price ...good predictive capacity in the city centre, but underestimates prices in other ...

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