Big data adoption is a process through which businesses find innovative ways to enhance
productivity and predict risk to satisfy customers need more efficiently. Despite the increase …

In the last decade, concealed by uncertain atmosphere, many algorithms have been studied
deeply to workout the shortest path problem. In this paper, we compared the shortest path …

Data mining can generally be defined as a technique for finding patterns (extraction) or
interesting information in large amounts of data that have meaning for decision support. One …

Advances in the medical industry has become a major trend because of the new
developments in information technologies. This research offers a novel approach for …

This paper intends to provide an overview on recent development of knowledge transfer for
rotary machine fault diagnosis (RMFD) by using different transfer learning techniques. After …

Similarity plays a significant implicit or explicit role in various fields. In some real applications
in decision making, similarity may bring counterintuitive outcomes from the decision maker's …

The Internet of Things (IoT) connects billions of devices to afford inventive opportunities
between things and people. The rapid development of products related to the IoT is a new …

The computerized healthcare information system has undergone tremendous
advancements in the previous two decades. Medical institutions are paying further attention …

Expressing the measure of uncertainty, in terms of an interval instead of a crisp number,
provides improved results in fuzzy mathematics. Several such concepts are established …

An elongation of the single-valued neutrosophic set is an interval-valued neutrosophic set. It
has been demonstrated to deal indeterminacy in a decision-making problem. Real-world …