Federated Learning (FL) has been foundational in improving the performance of a wide
range of applications since it was first introduced by Google. Some of the most prominent …

Decision tree classifiers are regarded to be a standout of the most well-known methods to
data classification representation of classifiers. Different researchers from various fields and …

Current technology has been widely applied for development, one of which has an Artificial
Intelligence (AI) applied to Smart Farming. AI can give special capabilities to be …

Research methods in machine learning play a pivotal role since the accuracy and reliability
of the results are influenced by the research methods used. The main aims of this paper …

Predicting the stock market is either the easiest or the toughest task in the field of
computations. There are many factors related to prediction, physical factors vs …

Machine learning has been very helpful in the early prediction of the fatal diseases such as
cancer and diabetes for their timely treatment. The different supervised techniques such as …

The adaptive neuro-fuzzy inference system (ANFIS) is employed in a vast range of
applications because of its smoothness (by Fuzzy Control (FC)) and adaptability (by Neural …

The stock market is an option for investment and trading. The market volatility and a wide
range of other dependent and independent elements that affect the market value of a …

In today's world where trading became very common. Observing the trends and stock market
predictions has become more and more popular. Forecasting the future value of a …

Background: Stock exchange price prediction is one of the most researched topics, attracting
interest from both academics and industry. Various algorithms have been developed since …