Researchers and practitioners have attempted to predict the financial market by analyzing
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …

Forecasting aviation demand is a significant challenge in the airline industry. The design of
commercial aviation networks heavily relies on reliable travel demand predictions. It enables …

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

Replacement of fossil fuels with bioenergy, often in concert with carbon capture and storage,
plays an important role in published low-emission pathways from the Intergovernmental …

Adaptive neuro-fuzzy inference system (ANFIS) it is a type of neural network that combines
the strengths of both fuzzy logic and artificial neural networks. ANFIS is particularly useful in …

This paper presents a technique for hiding secret messages in images while transferring
them over a network using steganography. The preprocessed standard datasets create …

With the advent of the Internet era, users from numerous countries can express their
opinions on social media platforms represented by Twitter. Unearthing people's image …

The study of the stock market with the attraction of machine learning approaches is a major
direction for revealing hidden market regularities. This knowledge contributes to a profound …

Typical investors start off the day by going through the daily news to get an intuition about
the performance of the market. The speculations based on the tone of the news ultimately …

This study examines the application of Reinforcement Learning (RL) in conjunction with
Large Language Models (LLMs) for the multi-label classification of financial news. The …