18 results with keyword: 'predicting pavement performance utilizing artificial neural network models'
Developing and comparing traditional regression and artificial neural network models in predicting future pavement conditions for asphalt, concrete, and composite pavements
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However artificial neural network (ANN) pavement prediction models have been developed that can account for both the pavement conditions and the climate data and
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A., 2014, Performance evaluation of artificial intelligence models (artificial neural networks and Adaptive Neural Fuzzy Inference System ( ANFIS ) In predicting
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■ Aetna’s Vision One® discount program, a nationwide network of vision care providers, offers you and your family glasses, contact lenses, nonprescription sunglasses, contact
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This is why the founders of Advanced Discovery saw the need to create a top-tier, full-service, electronic discovery provider, committed to developing faster, more accurate and
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Predicting Student Performance Using Artificial Neural Network: in the Faculty of Engineering and Information Technology.. Predicting Software Analysis Process Risks Using Linear
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Tools for as to word template with auto increment invoice number in the number change only when the master invoice numbers automatically calculated using custom coding with your
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This case illustrates the transition of administrative components of proprietary knowledge resources and capabilities (e.g., recruiting activities, customer
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Abstract—A brief comprehensive research review of the various advances in the development of energy efficient distributed cooperative routing protocols for the
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The developed pavement evaluation toolbox can be used for rapidly and more accurately backcalculating field or in-service pavement layer properties and thicknesses;
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We demonstrate that information asymmetry in bond trading has explanatory power for corporate bond yield spreads, and this result holds after controlling for the transaction costs
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3 Phase Test Panel for Testing No Load Current ( Self Made) 1 No3. ( No Load Loss, Full Load Loss, Impedance Voltage
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The different models such as fuzzy logic, Artificial Neural Network (ANN) and Sediment Rating Curve (SRC) models used for predicting suspended sediment yield and
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Total dissolved iron had similar patterns to the observed depth differences in DOC, CDOM, and FDOM: total dissolved iron was significantly higher in pool bottom waters compared
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Alajrami, “Predicting Student Performance Using Artificial Neural Network: in the Faculty of Engineering and Information Technology”, International Journal of Hybrid
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In a heat exchanger, heat is transferred between the bulk of the hot fluid and the bulk of the cold fluid. In the absence of fouling on the tubes present in the heat exchanger there
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All four countries are expected to increase purchases in 2012, as are other important importing countries such as (in order of volume of trade) Saudi Arabia, United Arab
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Xin Li Wei (Key Laboratory of Systematic Mycology and Lichenology, Institute of Microbiology, Chinese Academy of Sciences, Beijing) kindly provided much of the
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