This review explores the application of Long Short-Term Memory (LSTM) networks, a
specialized type of recurrent neural network (RNN), in the field of polymeric sciences. LSTM …

The paper explores using generative artificial intelligence (AI) in financial market data
management and forecasting. By integrating multiple data sources and feature extraction …

This article comprehensively explores multiple aspects of cryptocurrencies and their price
forecasting. Firstly, the article introduces the definition of cryptocurrency and its development …

With the widespread application of artificial intelligence technology in various industries,
users' attention to privacy and data security has increased significantly. Federated learning …

In today's highly digitized and globalized financial environment, the need to protect payment
systems from risk is more urgent than ever. Artificial intelligence (AI) technology is rapidly …

Accurate forecasting of the treasury bond market is beneficial for financial institutions to
formulate investment research strategies and for national managers to build a modern …

The extensive deployment of escalators has greatly improved travel convenience; however,
significant concerns have been raised due to the increasing frequency of safety incidents in …

The stock price reflects various factors such as the rate of economic growth, inflation, overall
economy, trade balance, and monetary system, all of which impact the stock market as a …

In this paper, machine learning-based fusion deposition modeling (FDM) 3D printing
process parameter self-optimization method is discussed to improve printing quality, reduce …

This paper systematically discusses the application of reinforcement learning in automatic
driving system. Reinforcement learning frameworks show significant advantages in …