Stock market price prediction is considered a critically important issue for designing future
investments and consumption plans. Besides, given the fact that the COVID-19 pandemic …

Treating chronic wounds is a common and costly challenge worldwide. More advanced
treatments are needed to improve wound healing and prevent severe complications such as …

Effectively predicting stock prices is critical to reduce investors' decision-making risks This
study considers the indirect effects of air pollutants on investor psychology, combined with …

The instances of privacy and security have reached the point where they cannot be ignored.
There has been a rise in data breaches and fraud, particularly in banks, healthcare, and …

Stock market forecasting is considered the most challenging problem to solve for analysts. In
the past 2 years, Covid-19 has severely affected stock markets globally, which, in turn …

In terms of asset size, the banking system constitutes 83% of the financial markets in Turkiye.
Given the importance of the banking system in the Turkish capital market, this study offers a …

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 study pioneers the integration of environmental data with financial indicators to forecast
stock prices, employing a novel PCA-GRU-LSTM model. By analyzing the Shanghai …

Forecasting stock market trends helps investors, government regulators, policymakers, and
relevant stakeholders make informed decisions. Predicting stock market movements is …

Internet of Things (IoT) conceptualizes the possibility of distantly interfacing and checking
things through the web. At the point when it includes our home, this thought is frequently …