The class imbalance learning (CIL) problem indicates when one class have very low
proportions of samples (minority class) compared to the other class (majority class). Even …

In today's fuzzy community, the blending of fuzzy model and deep learning has become one
hot topic for the development of more sophisticated and high-powered fuzzy systems. In this …

Condition monitoring is a major part of predictive maintenance which monitors a particular
condition in machinery to identify changes that could indicate a developing fault. It allows …

To effectively analyze the working state of the air circulation system of the aircraft at high
altitude, it is necessary to conduct simulation analysis on the ground. In this paper, a …

It is still very difficult to exploit possibilistic concepts to identify the strict parameters of
vehicular ad-hoc networks (VANET) while minimizing the dispersion of its constraints. In this …

Bearings are nonlinear systems that can be used in several industrial applications. In this
study, the combination of a strict-feedback backstepping digital twin and machine learning …

In recent years, successful applications of singleton fuzzy inference systems have been
made in a plethora of different kinds of problems, for example in the areas of control, digital …

Arrhythmia is the medical term for any irregularities in the normal functioning of the heart.
Due to their ease of use and non-invasive nature, electrocardiograms (ECGs) are frequently …

Bearings are used to reduce inertia in numerous utilizations. Lately, anomaly detection and
identification in the bearing using acoustic emission signals has received attention. In this …

Arrhythmia is a cardiac disorder due to abnormal heart rhythm. Cardiologists used a
technique known as an electrocardiogram (ECG) to diagnose arrhythmias or heart …