Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …

In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …

The recent boom of linear forecasting models questions the ongoing passion for
architectural modifications of Transformer-based forecasters. These forecasters leverage …

There has been a growing interest in the field of neural networks for prediction in recent
years. In this research, a public dataset including the sales history of a retail store is …

Traffic flow forecasting is an essential component of an intelligent transportation system to
mitigate congestion. Recurrent neural networks, particularly gated recurrent units and long …

Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …

COVID-19 has now had a huge impact in the world, and more than 8 million people in more
than 100 countries are infected. To contain its spread, a number of countries published …

Runoff forecasting is an important approach for flood mitigation. Many machine learning
models have been proposed for runoff forecasting in recent years. To reconstruct the time …

The complex and changeable working environment of wind turbine often challenges the
condition monitoring and fault detection. In this paper, a new method is proposed for fault …

The volume and availability of data in the Intelligent Transportation System (ITS) result in the
need for data-driven approaches. Big Data algorithms are applied to further enhance the …