Object detection is one of the most challenging tasks in computer vision. With the advances
in semiconductor devices and chip technology, hardware accelerators have been widely …

This paper presents a literature review of applications using type-2 fuzzy systems in the area
of image processing. Over the last years, there has been a significant increase in research …

In the past, 2D models were the main models for medical image processing applications,
whereas the wide adoption of 3D models has appeared only in recent years. The 2D Fuzzy …

Names: Gupta, Brij, 1982-editor.| Sheng, Quan Z. editor. Title: Machine learning for computer
and cyber security: principles, algorithms, and practices/editors Brij B. Gupta, National …

Fuzzy C-mean (FCM) is an algorithm for data segmentation and classification, robust and
very popular within the scientific community. It is used in several fields such as computer …

With the explosive growth of image big data in the agriculture field, image segmentation
algorithms are confronted with unprecedented challenges. As one of the most important …

Image segmentation in the medical imagery such as MRI, is an essential step to the
sensitive analysis of human tissues lesions with the objective to improve the partition of …

Abstract In Social Network Analysis (SNA), a common algorithm for community detection
iteratively applies three phases: spectral mapping, clustering (using either the Fuzzy C …

Image processing by segmentation technique is an important phase in medical imaging
such as MRI. Its objective is to analyze the different tissues in human body. In research area …

Bioinformatics is an interdisciplinary field that applies trending techniques in information
technology, mathematics, and statistics in studying large biological data. Bioinformatics …