Millions of individuals use social media platforms like Facebook, Twitter, Instagram, and
YouTube to share or get opinions. These social media platforms also spread, negative and …

Due to overly optimistic economic and statistical assumptions, the classical option pricing
model frequently falls short of ideal predictions. Rapid progress in artificial intelligence, the …

The adverse effect of ultraviolet (UV) radiation on human beings has sparked intense
interest in the development of new sensors to effectively monitor UV and solar exposure …

This study aims to examine the main determinants of efficiency of both conventional and
Islamic Saudi banks and then choose the best fit model among machine learning prediction …

The support vector machine theory has been developed into a very mature system at
present. The original support vector machine to solve the optimization problem is …

Among the existing GDP forecasting methods, time series forecasting and regression model
forecasting are the two most commonly used forecasting methods. However, traditional …

This study developed a novel framework to improve monthly precipitation forecasts by
integrating multi-source data with machine-learning techniques. The framework used a …

Nowadays, human action recognition (HAR) has become an emerging research topic for
movie understanding, video clip retrieval, human-computer interactions, autonomous driving …

This study aims to explore the effects of COVID-19 indicators and the oil price crash on the
Saudi Exchange (Tadawul) Trading Volume and Tadawul Index (TASI) for the period from …

Credit risk management is one of the key processes for banks and is crucial to ensuring the
bank's stability and success. However, due to the need for more rigid forecasting models …