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Abstract Computer models and simulations have provided enormous benefits to researchers in the natural and social sciences, as well as many areas of philosophy. However, to date, there has been little attempt to use comp...

Mathematical models, usually implemented in computer programs known as computer models, are widely used in all areas of science and technology to represent complex systems in the real world. However, computer models are ...

Abstract The research deals with using computer program in Arabic linguistic sciences through making it contribute in time economy in addition to its nature as a means of teaching and learning. A user of a computer can r...

In this paper, we solved the SEIR system (a system that describes the spread of viruses in computers) using the homogeneous balance method, which is one of the methods concerned with finding the accurate solution for equ...

Since the representation theory start, the mathematics science especially in algebra began to open many new researches such our this one, we start from Schur algebra in his new representation described by Green [6], pass...

Abstract Objectives This dataset was specifically collected to support the development and evaluation of computer-aided diagnosis (CAD) systems for breast cancer detection. The dataset, Ma’amon Diagnostic Center Mammog...

This study analyses sentiment related to the 2024 Indonesian Presidential Election using the Long Short-Term Memory (LSTM) algorithm. A total of 2,400 tweets in the Indonesian language were gathered, with approximately 4...

Dear Readers,It gives me great pleasure to announce the fourth regular issue of 2026. In this issue, 6 papers by 25 authors from 6 countries - Colombia, Greece, Mexico, Republic of Serbia, South Africa, Türkiye ...

The detection and tracking of head movements have been such an active area of research during the past years. This area contributes highly to computer vision and has many applications of computer vision. Thus, several me...

Traditional malware detection techniques frequently fail to detect and stop malicious activity in an era where cyber threats are becoming more complex. Any software that enters a computer system without the administrator...

The aim of this research is study of tracks growth experimentally and theoretically in cellulose nitrate LR-115 detector .The detector of 12jam thickness is irradiated normally by alpha particles with incident energies f...

Abstract This paper tackles the attitude of nursing staff towards the use of computers in hospitals especially in matters of documenting patients' records, and surgeries by Microsoft Access program which store data and o...

Abstract Researches and techniques of pattern recognition aim at finding and developing techniques for recognizing certain patterns or structures in the digital signals. A signal can represent a sound segment or a verbal...

Kriging models are used in many scientific disciplines to investigate the behavior of physical systems. In the Kriging model (KM), the response of the computer simulation code (CSC) is considered to have a Gaussian proce...

The functioning of an industria l enterprise of discrete production is considered as a set of interconnected production аnd design processes and managing them. Computer modeling of processes is used to review options fo...

The ability to recognize and distinguish between various textures in an image is made possible by feature extraction, which is a fundamental step in computer vision and image processing. Traditional methods of texture an...

The effect of imbalanced data on the optical character recognition of Braille text is investigated by applying two techniques to a set of convolutional neural network image classification models. A multilabel classificat...

Abstract Background South Africa is home to a rich tapestry of cultural and linguistic diversity, with 11 official spoken languages and South African Sign Language recognised as the twelfth. While this plurality reflects...

IntroductionReliable classification of lung nodules from computed tomography (CT) images remains a challenging problem due to variations in image intensity, noise, and unstable feature representations during deep network...

Abstract While multi-access edge computing (MEC) enables flexible task offloading, the inherent dynamism and complexity of real-world environments, accompanied by various uncertainties, exacerbate the challenges in offlo...