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 …

Machine Learning (ML) models are susceptible to adversarial samples that appear as
normal samples but have some imperceptible noise added to them with the intention of …

Prediction of stock prices has been an important area of research for a long time. While
supporters of the efficient market hypothesis believe that it is impossible to predict stock …

Designing robust and accurate predictive models for stock price prediction has been an
active area of research over a long time. While on one side, the supporters of the efficient …

Prediction of stock prices is a challenging task owing to its volatile and constantly fluctuating
nature. Stock price prediction has sparked the interest of various investors, data analysists …

Although recurrent neural networks (RNNs) are effective in handling sequential data, they
are poor in capturing the long‐term dependencies in the data due to a problem known as …

For a long-time, researchers have been develo** a reliable and accurate predictive model
for stock price prediction. According to the literature, if predictive models are correctly …

End product quality prediction is one of the key issues in smart manufacturing. Reliable
evaluation and parameter optimization is needed to ensure their high-quality production …

This study analyzes the role of financial pressure in forecasting the volatility of health care
stock. The main finding shows that financial pressure helps to improve the volatility …

Numerous machine learning models have been developed to achieve the 'real-life'financial
objective of optimising the risk/return profile of investment strategies. In the current article:(a) …