Distance measures play an important role in cluster analysis. There is no single distance
measure that best fits for all types of the clustering problems. So, it is important to find set of …

Appropriate fixture design could lower process time, lower cost, and improve the quality of
products. This paper proposes a case-based reasoning (CBR) method, with improved …

A sophisticated Drowsiness Detection System via Deep Transfer Learning for real time
scenarios Page 1 AIMS Mathematics, 9(2): 3211–3234. DOI: 10.3934/math.2024156 …

This paper addresses learning in complex scenarios involving imbalance and overlap. We
propose a novel measure, the Augmented R-value, for estimating the level of overlap in the …

Bearings are essential components in rotating machines. They ensure the rotation and
power transmission. So, these components are essential elements for industrial machines …

As a powerful tool for decision analysis, fifteen distance measures are incorporated into the
technique for order preference by similarity to ideal solution (TOPSIS) to carry out a …

The basic idea of ssHC is to leverage domain knowledge in the form of triple-wise
constraints to group data into clusters. In this paper, we perform extensive experiments in …

1Control & Energies Management Laboratory (CEM-Lab), National Engineering School of
Sfax, University of Sfax, Tunisia 2National School of Electronics and Telecommunications of …

Data mining techniques have been widely used in clinical decision support systems for
prediction and diagnosis of various diseases with good accuracy. These techniques have …

Industrial production is currently determined by the global competition and the need to adapt
the production quickly to changing market demands. These requirements can only be met by …