The financial sector has greatly impacted the monetary well-being of consumers, traders,
and financial institutions. In the current era, artificial intelligence is redefining the limits of the …

Due to the increasing number of medical imaging images being utilized for the diagnosis
and treatment of diseases, lossy or improper image compression has become more …

Stock market prices are known to be very volatile and noisy, and their accurate forecasting is
a challenging problem. Traditionally, both linear and non-linear methods (such as ARIMA …

Stock trending prediction is a challenging task due to its dynamic and nonlinear
characteristics. With the development of social platform and artificial intelligence (AI) …

Prediction with higher accuracy is vital for stock market prediction. Recently, considerable
amount of effort has been poured into employing machine learning (ML) techniques for …

The most widely used model in stock price forecasting is the long short-term memory
network (LSTM). However, LSTM has its limitations, as it does not recognize and extract …

The recognition of the value and importance of recognizing patterns in the stock market is
widely accepted. As a result, using innovative decision-making strategies is expected to lead …

Stock portfolio is a hard issue in the Fintech field due to the diversity of data characteristics
and the dynamic complexity of the market. Despite advances in deep learning that have …

The prediction of stock movements remains an arduous process because of the dynamic
and volatile nature of the stock market. In recent times, numerous stock prediction …

Correctly predicting the stock price movement direction is of immense importance in the
financial market. In recent years, with the expansion of dimension and volume in data, the …