Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …

Structural health monitoring (SHM) systems in civil engineering structures have been a
growing focus of research and practice. Over the last few decades, optical fibre sensor (OFS) …

The current expansion of theory and research on artificial intelligence in management and
organization studies has revitalized the theory and research on decision-making in …

In recent years, interest in artificial intelligence and the integration of Industry 4.0
technologies to improve and monitor steel production conditions has increased. Every day …

Foreign exchange rate affects many countries' economic status and development. Therefore,
it is essential to find the factors affecting the exchange rate price and make reasonable …

The main way to produce cast iron is in the blast furnace. In the production of hot metal, the
control of silicon is important. Alumina and silica react chemically with limestone and …

Purpose The purpose of this paper is to propose a comprehensive version of a hybrid
autoregressive integrated moving average (ARIMA), and artificial neural networks (ANNs) in …

Forecasting a currency exchange rate is one of the most challenging tasks nowadays. Due
to government monetary policy and some uncertain factors, such as political stability, it …

The blast furnace is a metallurgical reactor that operates countercurrent with the descending
metallic charge and ascending gases. Cast iron is the product formed by reducing metal …

Foreign exchange rate forecasting has always been in demand because it is critical for
foreign traders to know how their money will perform against other currencies. Traders and …