The waste management industry uses an increasing number of mathematical prediction
models to accurately forecast the behavior of organic pollutants during catalytic degradation …

This review paper examines state-of-the-art algorithms and techniques in quantum machine
learning with potential applications in finance. We discuss QML techniques in supervised …

Incorporating return prediction in portfolio optimization can make portfolio optimization more
efficient by selecting the stocks expected to perform well in the future. This paper proposes a …

Analyzing financial accounting transactions is essential for gaining valuable hidden insights,
optimizing performance, reducing expenses by identifying more efficient methods of …

Water quality surveillance is tough, and a specific timely management is necessary for the
inland aquaculture ponds and ecology as well. Real time quality monitoring involves the …

Portfolio management is a critical aspect of investment strategies, with the goal to balance
the low-risk and high-return investments. Despite this, existing portfolios frequently overlook …

With the advancement of prediction methods in the field of artificial intelligence, accurate
price predictions can effectively support financial portfolio selection. This paper proposes an …

In the past years, the widespread diffusion of Artificial Intelligence (AI) in the finance domain
transformed different services, with particular attention to the stock market. Although different …

The classical autoregressive moving average (ARMA) and generalized autoregressive
conditional heteroskedastic (GARCH) models have been widely adopted to forecast Value …

With the development of the Chinese security market, stock price crashes have occurred
frequently, and extant studies have proved that investor sentiment is one of the most …