المقالات العلمية

Learning Pathology Through Play: A Perspective on Gamification

An Application of Educational Theories and Principles of Teaching and Learning Communication Skills for General Practitioners in Oman

Evaluating Machine Learning Models for PM2.5 Prediction: A Case Study on Air Pollution in Beijing

Large pollution impacts on human, animal, and plant health, along with advanced computing technologies capable of managing big data, create new opportunities for applying ML to improve air quality observation. Questions also continue to increase as more are created about how the performance of newer, hybrid ML models i …

Ensemble Machine Learning for COVID-19 Forecasting: Enhancing Resource Planning and Pandemic Response in Oman

… g the number of individuals likely to be infected by the novel coronavirus, utilizing an ensemble machine-learning algorithm to predict infection and death rates. The study's specific goal is to assist government entities in anticipating the impact of Novel COVID-19 across the Sultanate states. The proposed machine lea …

Machine Learning Approach to Analyze the Impact of Seismic Force

The study investigates the impact of seismic forces on structural response using a machine learning (ML)–based approach. The study has utilized scaled structural models and subjected them to control shaking table excitations representing low, medium, and high earthquake intensities. A linear regression–based ML model w …

Palm Leaf Disease Detection and Classification Using Deep Learning with Stable Diffusion-Based Data Augmentation

… ction methods, resulting in delayed or wrong identification. To address these problems, we present a deep learning-based architecture using DenseNet201 as a teacher model and EfficientNetV2-S as a student model in a knowledge distillation setting. The initial image data was provided by Kaggle. This data was diversified …

Privacy Preserving Federated Learning for Myocardial Infarction Detection from ECG Signals

… n from 12-lead ECG signals is a critical clinical task, yet two key barriers limit the deployment of deep learning models: data privacy regulations that restrict cross-institutional patient data sharing, and severe class imbalance across heterogeneous hospital populations. This paper proposes a privacy-preserving feder …

National Learning Outcome Standards: A Case of the Computing Element in Oman

… ed. Data were collected through a 5-point Likert Scale author-designed questionnaire created based on the Learning Outcomes (LOs) of the component. The chi-square results revealed statistically significant differences among the frequencies of the students’ responses in rating their competencies in Computing LOs. Based …

Mobile Assisted Language Learning Communication: Improving Reading Comprehension and Goal Orientation in Iraqi EFL Students

Due to its easy access and ubiquity, Mobile Assisted Language Learning (MALL) can benefit language learners with no restriction of time and place. The present study, with pre-experimental design, which was carried out on 145 Iraqi EFL learners, first studied the effect of MALL on the learners’ English reading comprehen …

Machine Learning Impact on Modern Business Intelligence

The incorporation of machine learning (ML) approaches into business intelligence (BI) results in a great impact on fields that require predictive analysis, such as the real estate market. An accurate prediction of housing prices can provide benefits to stakeholders such as developers, investors, and policy planners. Th …

A Computer Aided Learning Tool for Readers

A bilingual piece of software has been developed to cultivate student speed and critical reading abilities by expanding their visual span, improving their eye movement, reducing their visual regression, developing their stock of vocabulary, and by honing their skimming, scanning, and critical understanding skills. This …

On the Existence of Evolutionary Learning Equilibriums

… e hardly true of the real world of economic and financial complexities and perturbations. The category of learning sets explained by continuous fields of interactive, integrative and evolutionary behaviour caused by dynamic preferences at the individual and institutional and social levels cannot maintain the assumption …