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Feed-forward (FF) artificial neural networks (ANN) and radial basis function (RBF) ANN methods were addressed for evaluating the lightning performance of high voltage transmission lines.
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There are a few studies addressing methods for evaluating target druggability.
The methodology addresses the need for evaluating uncertainty rigorously and its impact on decision-making for solvent-recovery and treatment options.
In this paper, we address an approach for evaluating and monitor paper formation using images acquired with an especially designed sensor, in-line, in-situ and in real time.
In an attempt to address the need for evaluating invasive risk at sub-national levels we incorporated an ecoregional assessment of the climate niche.
Another important question being addressed is evaluating whether alternative methods for estimating transmission from serology can provide more information from fewer subjects, and/or information not easily obtainable from current methods, in particular, quantifying recent changes in exposure or defining heterogeneity in exposure at a more granular level.
Many factors need to be addressed in evaluating these risks.
This study addresses the protocol of tests for evaluating the performance of skeletal, reduced and highly-reduced chemical kinetics mechanisms for one-dimensional (1D) laminar flame simulations and the validity of these tests for turbulent flame applications.
This report describes the development and validation of methodologies for evaluating and addressing drug target interference in bioanalytical assays that involve interactions between drug, ADA, immune complexes, and drug target.
Addressing this issue is important for evaluating the potential application of rADI in neurodegenerative diseases.
In addition, metrics can address the validation of accuracy and precision for evaluating localization and severity of damage when coupled to a validated detection capability.
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CEO of Professional Science Editing for Scientists @ prosciediting.com