A hybridized method that relies on using the support vector regression (SVR) method with
equilibrium optimizer (EO) is proposed to foresee the closing prices of Egyptian Exchange …

This article expounds on the challenges of sustainable global energy development to
conventional econometrics in energy research. It introduces energy big data's “4V” …

This paper deal about the prediction of SunModule SW 175 monocrystalline photovoltaic
(PV) module power output installed in Belbis, Egypt. The proposes prediction model forecast …

Financial analysis of the stock market using the historical data is the exigent demand in
business and academia. This work explores the efficiency of three deep learning (Dl) …

The prediction information has effects on the emergency prevention and advanced control in
various complex systems. There are obvious nonlinear, nonstationary, and complicated …

The forecasting of stock market is known to be a remarkable effort and a great deal of
attention, as forecasting stock prices can effectively steer to desirable profits by making …

Scientific prediction of water consumption is beneficial for the management of water
resources. In practice, many factors affect water consumption, and the various impact …

In this paper, a novel approach involving a fractional recurrent neural network (RNN) is
proposed to achieve the observer-based synchronization of a cancer cell model. According …

Due to the emergence of the coronavirus disease (COVID 19), education systems in most
countries have adapted and quickly changed their teaching strategy to online teaching. This …

Visual inspections is a common approach for the network‐scale monitoring of bridges. One
of the main challenges when interpreting visual inspections is the observations being …