Výsledky vyhledávání - "Atheer Y. Oudah"

Akademický článek

Suspended sediment load prediction using sparrow search algorithm-based support vector machine model

Autor: Sandeep Samantaray, Abinash Sahoo, Deba Prakash Satapathy, Atheer Y. Oudah, Zaher Mundher Yaseen

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-32 (2024)

Abstract Prediction of suspended sediment load (SSL) in streams is significant in hydrological modeling and water resources engineering. Development of a consistent and accurate sediment prediction model is highly necessary due to its difficulty and

Externí odkaz: https://doaj.org/article/d41821941b59484e8377c7e620b1604c

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Akademický článek

Deep learning versus gradient boosting machine for pan evaporation prediction

Autor: Anurag Malik, Mandeep Kaur Saggi, Sufia Rehman, Haroon Sajjad, Samed Inyurt, Amandeep Singh Bhatia, Aitazaz Ahsan Farooque, Atheer Y. Oudah, Zaher Mundher Yaseen

Publikováno v: Engineering Applications of Computational Fluid Mechanics, Vol 16, Iss 1, Pp 570-587 (2022)

In the present study, two innovative techniques namely, Deep Learning (DL) and Gradient boosting Machine (GBM) models are developed based on a maximum air temperature ‘univariate modeling scheme’ for modeling the monthly pan evaporation (Epan) pr

Externí odkaz: https://doaj.org/article/3d764fa94b294b68b42e9d65a997964b

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Akademický článek

Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China

Autor: Marwah Sattar Hanoon, Ali Najah Ahmed, Arif Razzaq, Atheer Y. Oudah, Ahmed Alkhayyat, Yuk Feng Huang, Pavitra kumar, Ahmed El-Shafie

Publikováno v: Ain Shams Engineering Journal, Vol 14, Iss 4, Pp 101919- (2023)

Machine learning models have been effectively applied to predict certain variable in several engineering applications where the variable is highly stochastic in nature and complex to identify utilizing the classical mathematical models. Therefore, th

Externí odkaz: https://doaj.org/article/ee8a3491a342474d867ca1c3ff0ff1c8

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Akademický článek

Novel Optical Soliton Waves in Metamaterials with Parabolic Law of Nonlinearity via the IEFM and ISEM

Autor: Xiaoyan Li, Jalil Manafian, Mostafa Abotaleb, Onur Alp Ilhan, Atheer Y. Oudah, A. S. Prakaash

Publikováno v: Journal of Function Spaces, Vol 2022 (2022)

Here, the miscellaneous soliton solutions of the generalized nonlinear Schrödinger equation are considered that describe the model of few-cycle pulse propagation in metamaterials with parabolic law of nonlinearity. The novel analytical wave solution

Externí odkaz: https://doaj.org/article/1b9501234dbb49daa2076ea2a2a8c074

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Akademický článek

Natural Time Series Parameters Forecasting: Validation of the Pattern-Sequence-Based Forecasting (PSF) Algorithm; A New Python Package

Autor: Mayur Kishor Shende, Sinan Q. Salih, Neeraj Dhanraj Bokde, Miklas Scholz, Atheer Y. Oudah, Zaher Mundher Yaseen

Publikováno v: Applied Sciences, Vol 12, Iss 12, p 6194 (2022)

Climate change has contributed substantially to the weather and land characteristic phenomena. Accurate time series forecasting for climate and land parameters is highly essential in the modern era for climatologists. This paper provides a brief intr

Externí odkaz: https://doaj.org/article/399f5f62a85c485b9896563bb52f61ea

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