Over the past few decades, interest in theories and algorithms for face recognition has been
growing rapidly. Video surveillance, criminal identification, building access control, and …

Nowadays, data privacy is an important consideration in machine learning. This paper
provides an overview of how Federated Learning can be used to improve data security and …

Image enhancement is essential for any image processing applications. The objective of
image enhancement is to reveal the hidden information which is not available for the …

An intrusion detection system (IDS) is designed to detect and analyze network traffic for
suspicious activity. Several methods have been introduced in the literature for IDSs; …

Gastrointestinal diseases like ulcers, polyps', and bleeding are increasing rapidly in the
world over the last decade. On average 0.7 million cases are reported worldwide every year …

Face recognition, as one of the major biometrics identification methods, has been applied in
different fields involving economics, military, e-commerce, and security. Its touchless …

The focus of smart homes is more inclined towards providing security and comfort to
residents rather than treating energy as the foremost concern. This paper proposes a novel …

Selection of an attribute for placement of the decision tree at an appropriate position (eg root
of the tree) is an important decision. Many attribute selection measures such as Information …

Contrast enhancement is important and plays vital role in many applications. Histogram
equalization-based techniques are widely used techniques for contrast enhancement …

Similarity detection in the text is the main task for a number of Natural Language Processing
(NLP) applications. As textual data is comparatively large in quantity and huge in volume …