Unstructured data has been identified by governments and researchers as a result of the
increasing digitization of society, which has led to an increase in digital platforms and …

Biomaterials, designed to interact with living systems, play a vital role in various medical
applications. Classifying these materials effectively is crucial for understanding their …

Social media has become a massive responsibility for marketing. All notions of etiquette and
traditional advertisements become null and void in this area People love to share …

Anemia is a major public health concern and has a significant impact on women and
children worldwide [1]. The World Health Organization (WHO) reports that about (42%) of …

This paper explores the genetic and epigenetic impacts of drug abuse, focusing on how
chronic drug use can induce mutations in DNA, particularly within protein-coding regions …

Principal Component Analysis (PCA) for an automatic classification of image database.
Principal components are the distinctive or peculiar features of an image. PCA also holds …

Traditional video search engines retrieve the results on the basis of correspondence
between user's textual query and tags associated with the videos. Only that content that …

In this paper, we propose a two-phase face recognition method in frequency domain using
discrete cosine transform (DCT) and discrete Fourier transform (DFT). The absolute values …

A dynamically optimizing PCA method for face recognition is presented. Firstly, DCT is
adopted, and their mean gray values are obtained. The face images are grouped into three …

Cryptographic approaches are traditional and preferred methodologies used to preserve the
privacy of data released for analysis. Privacy Preserving Data Mining (PPDM) is a new trend …