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Methodological Approaches to Calculating Key Validation Parameters of Forensic Methods
Bebeshko G.I., Lyubetskaya I.P., Omel’yanyuk G.G., Usov A.I.
difficulties in FT validation are related to selecting validation parameters, developing the validation
Methodological approaches to calculation of the main validation parameters of forensic techniques
Bebeshko G.I., Lyubetskaya I.P., Omel'yanyuk G.G., Usov A.I.
parameters, development of the validation experiment and performance of statistical calculations. We propose
About the user validation algorithm, based on artificial neural networks
, the algorithm of user validation on the base of one’s keystroke pattern is examined. In this context
Wye-connected current transformers simplified model validation in Matlab-simulink
Romanyuk, F. A., Novash, I. V., Rumiantsev, Y., Wegierek, P.
with the initial data based on nominal parameters (nameplate data) of the simulated CT. Designed user
Development and Validation of Method for the Quantitative Determination of Zinc in its Chelate Complexes Using Energy Dispersive X-ray Fluorescence Spectroscopy
Marukhlenko А.V., Maksimova Т.V., Pleteneva Т.V., Morozova М.А.
in the solution (r = 0.9996). The method was evaluated by the following validation parameters: specificity
Validation of MRI-Based Fiber-Tracking Results
Il’yasov K., Konopleva L., Nedopekin O.
-track existence has been developed and validated on the basis of digital phantoms and diffusion-weighted magnetic
Development and validation of spectrophotometric procedure for quantitative determination of flavonoid content used to control the quality of mixture herbal product
Smyslova O., Bokov D., Potanina O., Litvinova T., Samylina I.
/presents the main stages of development and validation (by parameters: accuracy, precision, specificity, linearity
The dynamical core of the Aeolus 1.0 statistical-dynamical atmosphere model: Validation and parameter optimization
© Author(s) 2018. We present and validate a set of equations for representing the atmosphere
Integration Vis-NIR Spectroscopy and Artificial Intelligence to Predict Some Soil Parameters in Arid Region: A Case Study of Wadi Elkobaneyya, South Egypt
El-Sayed M.A., Abd-Elazem A.H., Moursy A.R.A., Mohamed E.S., Kucher D.E., Fadl M.E.
calibration dataset (70% of the total) and a validation dataset (30% of the total dataset). The obtained
Development and Validation of an HPLC-MS/MS Method for Quantification of Apixaban in Human Plasma
Filonova U.D., Karnakova P.K., Karnakova K.K., Popova M.O., Popova A.A., Archakova O.A., Komarov T.N., Shohin I.E.
, it is important to develop and validate a simple and sensitive method for the quantitative determination

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