Nanogenerators (NGs) are one of the promising energy solutions, which collect different
forms of energy in the environment, and have great potential applications in self-powered …

Oil markets reveal considerably volatile behaviour due to a range of factors. Exogenous
factors, such as the COVID-19 pandemic and ongoing wars and conflicts, impose even more …

In the abundant literature about crude oil futures price forecasting, researchers generally
predicted the crude oil price movements from the perspective of only a single timeframe. In …

Stock market analysis plays an indispensable role in gaining knowledge about the stock
market, developing trading strategies, and determining the intrinsic value of stocks …

The increasing popularity of online job vacancies and machine learning methods has raised
questions about their combination to enhance our understanding of labour markets and …

Smart seaside cities can fully exploit the capabilities brought by Internet of Things (IoT) and
artificial intelligence to improve the efficiency of city services in traditional smart city …

Firms engaged in producing, processing, marketing, or using lumber and lumber products
always invest in futures markets to reduce the risk of lumber price volatility. The accurate …

Correctly predicting the stock price movement direction is of immense importance in the
financial market. In recent years, with the expansion of dimension and volume in data, the …

Existing uranium poses significant dangers to the environment and the general population's
health. Within the scope of this study, machine learning techniques were utilized to assess …

In order to overcome all the flaws and limitations related to the existing system in the medical
field regarding the storing, sharing and accessing the medical data or records of the users …