Nowadays, emails are used across almost every field, spanning from business to education.
Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk …

Nowadays, class imbalance problem is one of the most important affairs among machine
learning and data mining researchers. In this problem, majority of the sample data are …

Credit approval prediction is one of the critical challenges in the financial industry, where the
accuracy and efficiency of credit decision-making can significantly affect business risk. This …

In order to evaluate a person's or a company's creditworthiness, financial institutions must
use credit scoring. Traditional credit scoring algorithms frequently rely on manual and rule …

The importance of agricultural earnings and employment in most countries has decreased
with time. That is also true for Bangladesh. Farmers usually design the cultivation process …

Machine learning (ML) is rapidly evolving, leading to numerous theoretical advancements
and widespread applications across multiple fields. The goal of ML is to enable machines to …

Stock price prediction is the technique of predicting the future values of a stocks or other
financial instruments traded on any exchange. Stock price prediction using machine …

Explainable Artificial Intelligence is a concept aimed at making complex algorithms
transparent to users through a uniform solution. Researchers have highlighted the …

Commercial market predictions play a pivotal role in strategic decision-making for
businesses, investors, and financial institutions. Accurate predictions enable proactive …

The introduction of Big Data has proclaimed the beginning of a new age of scientific
advances. One of the most often encountered problems with raw data is a class imbalance …