A fuzzy algorithm is presented for image segmentation of 2D gray scale images whose
quality have been degraded by various kinds of noise. Traditional Fuzzy C Means (FCM) …

In recent days, industry and academia have been trying to address the data handling issues
with respect to big data. This has led to development of new computing arenas in the fields …

Purpose–The purpose of this paper is to provide a way to analyze satellite images using
various clustering algorithms and refined bitplane methods with other supporting techniques …

In this research, ball bearing fault diagnosis based on experimental vibration signals is
studied. For this purpose, vibration signals are measured by an acceleration sensor from …

The purpose of higher education organizations have to offer superior education to its
students. The proficiency to forecast student's achievement is valuable in affiliated ways …

Data clustering plays a very important role in Data mining, machine learning and Image
processing areas. As modern day databases have inherent uncertainties, many uncertainty …

The purpose of higher education organizations is to offer superior education to its students.
The proficiency to forecast student's achievement is valuable in affiliated ways associated …

With the increasing usage of images to express opinions, feelings and one's self, on social
media, and other websites, privacy concerns become an issue. The need to anonymize a …

Several image segmentation techniques have been developed over the years to analyze the
characteristics of images. Among these, the uncertainty based approaches and their hybrids …

The evolving needs for big data mining and data analysis applications has led both industry
and academia to design new types of data-intensive computing platforms. As big data holds …