Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting
new knowledge. By using DL, the extraction of advanced data representations and …

This article is dedicated to study the impact of machine intelligence (MI) methods viz. various
types of Neural models for investigating dynamical systems arising in interdisciplinary areas …

The definitive diagnosis of acute lymphoblastic leukemia (ALL), as a highly prevalent
cancer, requires invasive, expensive, and time‐consuming diagnostic tests. ALL diagnosis …

With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …

Background. In today's industrialized world, coronary artery disease (CAD) is one of the
leading causes of death, and early detection and timely intervention can prevent many of its …

With the recent diffusion of access to publicly available large language models (LLMs),
common interest in generative artificial-intelligence-based applications for medical purposes …

Background In the modern world, mobile apps are essential for human advancement, and
pandemic control is no exception. The use of mobile apps and technology for the detection …

Introduction. While the COVID‐19 pandemic was waning in most parts of the world, a new
wave of COVID‐19 Omicron and Delta variants in Central Asia and the Middle East caused …

In recent years, deep learning techniques have been widely used to diagnose diseases.
However, in some tasks, such as the diagnosis of COVID-19 disease, due to insufficient …

Breast cancer is one of the most prevalent cancers with an increasing trend in both
incidence and mortality rates in Iran. Survival analysis is a pivotal measure in setting …