IoT plays an important role in daily life; commands and data transfer rapidly between the
servers and objects to provide services. However, cyber threats have become a critical …

In this paper, an explainable AI-based fault diagnosis model for bearings is proposed with
five stages, ie,(1) a data preprocessing method based on the Stockwell Transformation …

This work proposes a distance that combines Minkowski and Chebyshev distances and can
be seen as an intermediary distance. This combination not only achieves efficient run times …

Early detection of Type 2 diabetes is necessary for its prevention. The prediction models for
detection systems normally employ common factors that may not properly fit all persons …

In this study, the solution of inverse kinematics, which is the most fundamental problem in
the field of robotics, is handled with the grey wolf optimization algorithm. Grey wolves belong …

This paper presents the design and performance evaluation of a host-based misuse
intrusion detection system for the Linux operating system. The proposed system employs a …

Traditional k-means algorithm measures the Euclidean distance between any two data
points, but it is not applicable in many scenarios, such as the path information between two …

Automatic music composition could dramatically decrease music production costs, lower the
threshold for the non-professionals to compose as well as improve the efficiency of music …

Abstract The adaptation of Artificial Intelligence can radically reshape the entire healthcare
industry. This paper proposes a comparative analysis of four Machine Learning algorithms …

Emotions are fundamental to social interaction and deeply intertwined with interpersonal
dynamics, especially in romantic relationships. Although the neural basis of interaction …