Search Results - "Alaa Slieman"

Comparison of FIS and ARIMA models in runoff estimating by Slieman, Alaa Ali, Kozlov, Dmitry

“…The ability to surface runoff modelling plays an important role in the water resources management, and the possibility of estimating and predicting of runoff…”
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Evaluating performance of MIKE 11 NAM model for runoff modeling on upper basin of Orontes River in Syria by Slieman, Alaa, Kozlov, Dmitry

“…This study aims to evaluate the performance of MIKE 11 NAM model for runoff modeling in case of lack of data as a case study on the upper basin of the Orontes…”
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Verification of MIKE 11-NAM Model for runoff modeling using ANN, FIS, and ARIMA methods in poorly studied basin by Slieman, Alaa Ali, Kozlov, Dmitry

“…Hydrological information is the basis for conducting water balance studies in any region, and surface runoff is one of the most important hydrological…”
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Efficiency of MIKE-NAM model for runoff modeling using artificial intelligence by Slieman, Alaa, Kozlov, Dmitry V.

“…Introduction. The ability of runoff modeling is an essential step in the hydrologic modeling process and therefore water ba­lance studies, therefore, this…”
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A Comparative Study Between Artificial Neural Networks and Fuzzy Inference System for Estimation and Filling of Missing Runoff Data at Al-Jawadiyah Station by Ali Slieman, Alaa, Kozlov, Dmitry

“…Runoff is one of the most important components of the hydrological cycle, and having complete series of runoff data is essential for any hydrological modelling…”
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Evaluating Different Machine Learning Models for Runoff Modelling by Slieman, Alaa Ali, Kozlov, Dmitry V.

“…Estimation and forecasting of hydrological factors are of particular importance in hydrological modelling, and surface runoff is one of the most important of…”
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Estimation and filling of missing runoff data at Al-Jawadiyah station using artificial neural networks by Ali slieman, Alaa, Kozlov, Dmitry

“…Runoff is one of the most important components of the hydrological cycle, and having complete series of runoff data is essential for any hydrological modelling…”
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Using of artificial neural networks to estimate surface runoff on the water balance calculations of the Upper Orontes River basin by Slieman, Alaa, Kozlov, Dmitry V.

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Efficiency of MIKE-NAM model for runoff modeling using artificial intelligence by Alaa Slieman, Dmitry V. Kozlov

“…Introduction. The ability of runoff modeling is an essential step in the hydrologic modeling process and therefore water ba­lance studies, therefore, this…”
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Configuration of user interface for evaluation of runoff in Orontes basin using artificial intelligence by Slieman, Alaa, Kozlov, Dmitry V.

“…Introduction. Surfacе runoff is of great importance for water resources formation processes in a river basin. The purpose of this study is to develop a user…”
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