This paper considers the problem of real-time detection and classification of power quality
disturbances in power delivery systems. We propose a sequential and multivariate …

Ship detection in synthetic aperture radar (SAR) images has been widely applied in
maritime management and surveillance. However, some issues still exist in SAR ship …

The data to train autonomous cars was not so abundant before a few years. After Waymo
released their driving data, it is widely used in academic research. It consists of a huge …

Classification is one of the most significant subfields of data mining that has been
successfully applied to various applications. The literature has expended substantial effort to …

Wireless Sensor Network (WSN) technology is the real-time application that is growing
rapidly as the result of smart environments. Battery power is one of the most significant …

This paper proposes an algorithm based on the Stockwell transform (ST) and Hilbert
transform (HT) to classify complex power quality disturbances (CPQDs). Two indices are …

Fault diagnosis plays an important role in maintaining the safe and stable operation of
hydropower units. This paper presents an intelligent fault diagnosis scheme for hydropower …

In this study, the mechanical properties of advanced composites fabricated by the hand lay-
up process were investigated. The mechanical properties evaluated in this study included …

Recently, renewable energy sources integrated with microgrid (MG) networks have provided
safe, secure, and reliable power supply to both utility and industrial purposes. Power quality …

Birds have always been important part of every surroundings and they are utmost important
to the environment. Taking this, it's now clear that how important and is required it is to be …