AI in finance refers to the applications of AI techniques in financial businesses. This area has
attracted attention for decades, with both classic and modern AI techniques applied to …

Forecasting the behavior of the stock market is a classic but difficult topic, one that has
attracted the interest of both economists and computer scientists. Over the course of the last …

Algorithmic trading based on machine learning is a developing and promising field of
research. Financial markets have a complex, uncertain, and dynamic nature, making them …

The stock market is viewed as an unpredictable, volatile, and competitive market. The
prediction of stock prices has been a challenging task for many years. In fact, many analysts …

The rapid expansion of artificial intelligence (AI) technologies presents novel technical
solutions to traditional accounting and finance problems. Despite this, scholars in …

Artificial Intelligence (AI) approaches have been increasingly used in financial markets as
technology advances. In this research paper, we conduct a Systematic Literature Review …

The unreasonable sorting of single-stage rotor blades leads to the over-tolerance of rotor
unbalance, which is the main cause of excessive engine vibration. Aiming at the problems of …

Among all the application areas of the time-series prediction, stock market prediction is the
most challenging task due to its dynamic nature, and dependency on many volatile factors …

Reinforcement Learning (RL) has experienced significant advancement over the past
decade, prompting a growing interest in applications within finance. This survey critically …

While machine learning's role in financial trading has advanced considerably, algorithmic
transparency and explainability challenges still exist. This research enriches prior studies …