THE FORECASTING INDEX OF (STUDENT/LECTURER) FOR THE EDUCATION UNIVERSITIES, BY USING THE METHOD OF ANALYZING THE TIME SERIES MODELS

The forecasting index of (student/lecturer) for the education universities, by using the method of analyzing the time series models

The subject of relying on forecasting models which depend on time series has become prominent recently especially with the easy using of those models , according to application package, The search harmonized many of these models and advanced methods 3m speedglas 9002nc for the gaining of accurate forecasting to an important and active indictor for

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Hybrid Proximal-Point Methods for Zeros of Maximal Monotone Operators, Variational Inequalities and Mixed Equilibrium Problems

We prove strong and weak convergence theorems of modified hybrid proximal-point algorithms for finding usc trojans snapback hat a common element of the zero point of a maximal monotone operator, the set of solutions of equilibrium problems, and the set of solution of the variational inequality operators of an inverse strongly monotone in a Banach s

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Utilizing Artificial Neural Networks and Random Forests to Forecast the Dynamic Amplification Factors of Non-Structural Components

Soft stories in buildings are well-known to present structural vulnerabilities during seismic events, and the failure of non-structural components (NSCs) has been evident in past earthquakes, along with structural damage.This study seeks to investigate how the presence of a soft story in a building affects the criteria for elastic floor acceleratio

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