Federated Machine Learning has recently become a prominent approach to leverage data
that is distributed across different clients, without the need to centralize data. Models are …

Face recognition remains a challenging problem till today. The main challenge is how to
improve the recognition performance when affected by the variability of non-linear effects …

Extracting high level information from digital images and videos is a hard problem frequently
faced by the computer vision and machine learning communities. Modern surveillance …

The problem of the research is to find medical images of purity, high quality and free of
impurities, which contributes to enabling doctors to obtain the results of analyzing the health …

One of the problems in distinguishing numbers written in Arabic and in handwriting is the
difference in the writing style for each person and the accompanying impurities with Arabic …

Classification is of great importance in the field of image processing, and convolutional
neural networks (CNNs) have achieved great success in this field. Although CNN has …

This paper presents a comprehensive overview of Convolutional Neural Networks (CNNs) in
the context of face recognition. By analyzing 150 research papers, we investigate major …

This paper relates to the field of Artificial Intelligence, specifically to image recognition, and
provides an innovative method to take advantage of Blockchain Convolutional Neural …

In order to overcome the effects of posture, illumination, expression and other factors on face
recognition, this paper proposes an algorithm which is based on local binary pattern (LBP) …

In this manuscript, model predictive control for class of discrete fuzzy large-scale systems
subjected to bounded time-varying delay and disturbances is studied. The considered …