In everyday life, many decisions are made, from personal and individual issues to major issues. In most decision-making topics, there are generally several goals and factors for discussion that are analyzed by multi-objective models. Researchers have conducted various studies on multi-objective...

A time series can often be characterized using machine learning techniques, which require feature vectors as input. The quality of the feature vectors reflects the accuracy of the utilized machine learning techniques. We propose a method for combining features extracted from two popular...

Technology application in healthcare is a recent field devoted to sustainability in the healthcare industry. However, research in this sector has grown at a rapid pace. While this expansion has been advantageous for the discipline, it has also made it more difficult to grasp its extent. As a...