Stock market trading is an activity in which investors need fast and accurate information to
make effective decisions. Since many stocks are traded on a stock exchange, numerous …

Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

The economic model derived from the supply and demand of crude oil prices is a significant
component that measures economic development and sustainability. Therefore, it is …

Accurate stock market prediction is of great interest to investors; however, stock markets are
driven by volatile factors such as microblogs and news that make it hard to predict stock …

Investors are constantly aware of the behaviour of stock markets. This affects their emotions
and motivates them to buy or sell shares. Financial sentiment analysis allows us to …

Time series forecasting using historical data is significantly important nowadays. Many fields
such as finance, industries, healthcare, and meteorology use it. Profit analysis using …

Stock market price data is generated in huge volume and it changes every second. Stock
market is a complex and challenging system where people will either gain money or lose …

This article proposes a federated learning framework to build Random Forest, Support
Vector Machine, and Linear Regression models for stock market prediction. The …

Predicting the trend of stock prices is a central topic in financial engineering. Given the
complexity and nonlinearity of the underlying processes we consider the use of neural …

In this paper, we first introduce the multi-focus camera, a new image sensor used for depth
from defocus (DFD) range measurement. It can capture three images with different focus …