Zewail City of Science and Technology

Efficient deep learning models for early Alzheimer’s disease diagnosis

Abstract Alzheimer’s Disease (AD) is a progressive neurological disorder that impairs cognitive functions, severely affecting patients’ quality of life. Thus, early and accurate diagnosis is essential to provide a chance for treatment. This paper proposes two deep learning (DL) m...

Enhancing search efficiency in large-scale constrained multi-objective optimization using a decision variable importance matrix

Existing constrained multi-objective evolutionary algorithms (CMOEAs) encounter significant challenges in solving large-scale constrained multi-objective optimization problems (LSCMOPs), as the exponentially increasing search space severely restricts their optimization efficiency...

Enhancement of Anti-Neoplastic Effects of MGN-3/Biobran Against Solid Ehrlich Carcinoma-Bearing Mice via Lipidic Nanoparticle Based Targeted Drug Delivery System

MGN-3 (Biobran), a denatured hemicellulose compound derived from rice bran, possesses potent immunomodulatory and antitumor activity; however, its clinical application is constrained by non-specific tissue distribution, rapid systemic elimination, and poor cellular uptake. To ove...

Comparative study of natural rubber and styrene-butadiene rubber blends reinforced with different carbon black grades for tire tread production

In this study, the effect of carbon black (CB) on the properties of natural rubber (NR) and styrene-butadiene rubber (SBR) blends were investigated. Carbon black with different grades, N330 and N550, was used as a reinforcing filler of NR/SBR blends. The rubber compounds were pre...