In the rapidly evolving landscape of financial markets, the quest for accurate stock market
predictions has never been more critical. This paper delves into the transformative potential …

Abstract Multi-Source Information Fusion (MSIF), as a comprehensive interdisciplinary field
based on modern information technology, has gained significant research value and …

Currently, most of the existing fusion methods ignore the rich multi-source information of
different types of sensor nodes in the underwater unknown environment, which makes it …

Stock market predictions help investors benefit in the financial markets. Various papers have
proposed different techniques in stock market forecasting, but no model can provide …

This study explores the predictive effect of climate change attention on carbon futures
returns. Using climate‐related Google Trends and news, we construct five dimensions of the …

Artificial intelligence (AI)-based models have emerged as powerful tools in financial markets,
capable of reducing investment risks and aiding in selecting highly profitable stocks by …

Parkinson's disease (PD) disorder is caused by the imbalance of inhibitory dopamine and
excitatory acetylcholine neurotransmitters, which causes hindrance in locomotion. Freezing …

Stock value prediction and trading, a captivating and complex research domain, continues to
draw heightened attention. Ensuring profitable returns in stock market investments demands …

Stock movement prediction is a critical issue in the field of financial investment. It is very
challenging since a stock usually shows highly stochastic property in price and has complex …

This work develops machine learning (ML) predictive models on price signals for financial
instruments and their integration into trading strategies. In general, ML models have been …