As a general and rigid mathematical tool, wavelet theory has found many applications and is
constantly developing. This article reviews the development history of wavelet theory, from …

The sonar image segmentation is needed such as in underwater object orientation and
recognition, in collision prevention and navigation of underwater robots, in underwater …

PDF, as one of most popular document file format, has been frequently utilized as a vector
by attackers to covey malware due to its flexible file structure and the ability to embed …

In this paper, we propose a new approach to perform supervised texture classification/
segmentation. The proposed idea is to feed a Fully Convolutional Network with specific …

To prevent detection, attackers frequently design systems to rearrange and rewrite their
malware automatically. The majority of machine learning techniques are not sufficiently …

In the fields of nanoscience and nanotechnology, it is important to be able to functionalize
surfaces chemically for a wide variety of applications. Scanning tunneling microscopes …

As the global urban population grows due to the influx of migrants from rural areas, many
cities in developing countries face the emergence and proliferation of unplanned and …

The aim of this study is to improve the classification efficiency of advanced methods using a
multilayered dictionary learning framework. This paper presents the new idea of …

Image segmentation plays crucial role in medical image analysis and forms the basis for
clinical diagnosis and patient's treatment planning. But the large variation in organ shapes …

Abstract nowadays, image encryption is an interesting research area due to the rapid growth
of communication technologies and the increasing demands for safeguarding the privacy of …