Application of artificial neural networks to predict the COVID-19 outbreak
HR Niazkar, M Niazkar - Global Health Research and Policy, 2020 - Springer
Background Millions of people have been infected worldwide in the COVID-19 pandemic. In
this study, we aim to propose fourteen prediction models based on artificial neural networks …
this study, we aim to propose fourteen prediction models based on artificial neural networks …
Applications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin, Turkey
Examining historical variations of hydroclimatic variables can provide crucial information
about changes of water resources in a water cycle. In this study, the Mann–Kendall (MK) and …
about changes of water resources in a water cycle. In this study, the Mann–Kendall (MK) and …
Artificial neural networks for prediction of COVID‐19 in India by using backpropagation
The COVID‐19 pandemic has affected thousands of people around the world. In this study,
we used artificial neural network (ANN) models to forecast the COVID‐19 outbreak for …
we used artificial neural network (ANN) models to forecast the COVID‐19 outbreak for …
Assessment of three mathematical prediction models for forecasting the covid‐19 outbreak in Iran and Turkey
M Niazkar, G Eryılmaz Türkkan… - … methods in medicine, 2020 - Wiley Online Library
COVID‐19 pandemic has become a concern of every nation, and it is crucial to apply an
estimation model with a favorably‐high accuracy to provide an accurate perspective of the …
estimation model with a favorably‐high accuracy to provide an accurate perspective of the …
Review of new flow friction equations: Constructing Colebrook explicit correlations accurately
Using only a limited number of computationally expensive functions, we show a way how to
construct accurate and computationally efficient approximations of the Colebrook equation …
construct accurate and computationally efficient approximations of the Colebrook equation …
Analysis of water distribution networks using MATLAB and Excel spreadsheet: h‐based methods
The need for computer application for solving water distribution networks (WDNs) is
inevitable for both educational and practical purposes. In this paper, three h‐based methods …
inevitable for both educational and practical purposes. In this paper, three h‐based methods …
Application of new hybrid optimization technique for parameter estimation of new improved version of Muskingum model
The Muskingum method is one of the most utilized lumped flood routing model in which
calibration of its parameters provides an active area of research in water resources …
calibration of its parameters provides an active area of research in water resources …
Revisiting the estimation of Colebrook friction factor: a comparison between artificial intelligence models and CW based explicit equations
M Niazkar - KSCE Journal of Civil Engineering, 2019 - Springer
Abstract Application of Colebrook-White (CW) relation for calculating Darcy-Weisbach (DW)
friction factor has been widely accepted in literature. However, its implicit formation made it …
friction factor has been widely accepted in literature. However, its implicit formation made it …
Parameter estimation of an improved nonlinear Muskingum model using a new hybrid method
Although various techniques have been proposed to estimate the parameters of different
versions of the Muskingum model, more rigorous techniques and models are still required to …
versions of the Muskingum model, more rigorous techniques and models are still required to …
New nonlinear variable-parameter Muskingum models
The Muskingum model has been widely utilized for flood routing by water resources
engineers for decades. Since the relation between channel storage and weighted …
engineers for decades. Since the relation between channel storage and weighted …