To improve the feature extraction of ship-radiated noise in a complex ocean environment,
fluctuation-based dispersion entropy is used to extract the features of ten types of ship …

Abstract The novel coronavirus (COVID‐19) has an enormous impact on the daily lives and
health of people residing in more than 200 nations. This article proposes a deep learning …

Ship-radiated noise signal has a lot of nonlinear, non-Gaussian, and nonstationary
information characteristics, which can reflect the important signs of ship performance. This …

Automatic gender estimation provides a valuable information in the face of analysis tasks
and has been widely used in many fields of applications like human–computer interaction …

Gender is one of the facial attributes whose identification serves crucial step in systems
including smart billboards, emotion recognition and surveillance systems. This paper …

The face aging process is subject to multiple influences. This may probably involve several
inherited and various environmental and biological factors like the differences observed …

Nowadays, it is a challenging task of recognizing the emotions, gender, and age of a person
at the same time. Researchers are working hard to develop techniques and code to extract …

Gender recognition is an important function in numerous software applications that analyze
facial images. This paper presents a quantum machine learning based solution towards …

Radiation frost happens frequently in the Yangtze River Delta region, which causes high
economic loss in agriculture industry. It occurs because of heat losses from the atmosphere …

This paper deals with a probabilistic weighted multi-class support vector machines for face
recognition. The support vector machines (SVM) has been applied to many application fields …