Research ArticleOpen accessEvery word in the titleImplementation of "Learning from Success" Model on Learning Disabilities StudentsZeev Greenberg, Ayala CohenProblem statement: Students who have difficulties with studies lack study skills, demonstrate inconsistent achievements and are generally assigned to low-level study groups. In light of this situation, they tend to develop a poor self-image and low self-esteem. Therefore it is important to identify the coping skills that lead to success, which can serve as a model for the work of … …Journal of Social Sciences, Vol. 8, Issue 3 · 28 Aug 2012 · 7,866 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLearning Software Component Model for Online TutoringM. Balakrishnan, K. DuraiswamyProblem statement: Web services are interface elements which allow applications to render functional services to requesting clients using open standard protocols. A lecture method combines both social association and urban processing as course design and delivery is termed as Interface Learning. Many Interface learning services is presenting through online. To make an online tutoring scheme more effective, the previous study … …Journal of Computer Science, Vol. 8, Issue 7 · 9 Jun 2012 · 6,771 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModeling Projects in E-Learning Course: A Case of an Information Technology ProjectMohammed Ghaouth Belkasmi, Toumi Bouchentouf, Mostafa Azizi, Abdelhamid BenazziProblem statement: Achieving projects is primordial in the process of teaching in several disciplines, particularly software engineering courses. However, proposing this learning activity in a context of e-learning is not automatically guaranteed by the current platforms, even unsupported by the existing standards for creating educational content. Approach: Through this study, starting from the model developed in the “XESOP-Jaxe” project to … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,958 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLearning Dynamics in the Cobweb Model with Heterogeneous ProducersCarl Chiarella, Xue-Zhong HeIn this study we investigate the nonlinear dynamics of the traditional cobweb model with two types of heterogeneous producers who are risk averse and seek to learn the distribution of asset prices, in terms of the sample mean and variance of historical prices, using the Arithmetic Learning Processes (ALP) over different window lengths. We show that heterogeneity has a double … …American Journal of Applied Sciences, Vol. 2, Issue 13 · 15 Dec 2005 · 7,911 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Innovative Method for Recognizing Face Expressions Based on Genetic Algorithm and Extreme Learning Based Hybrid ModelTushar Dhar Shukla, Md Oqail Ahmad, Puneet Sapra et al.The detection of facial action coding system Action Units (AU) and other facial expressions has been a major focus of computer science for more than 20 years categorizing discrete emotional states based on facial expressions. While several widely used face expression databases exist, standardization and comparability remain key challenges. The lack of a universally recognized assessment procedure and insufficient information … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 7,293 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer PrognosisK. Muthuchamy, S K. Piramu PreethikaColorectal cancer (CRC) is one of the most common cancers worldwide, for which early prediction of patient outcomes is important for personalised treatment planning and to improve survival. However, current prediction systems are limited in the fact that they are based on single-modality data and cannot capture the complex interactions between clinical, imaging, and genomic factors. To overcome these shortcomings, … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 613 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,341 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparative Study of Resampling, Cost-Sensitive, and Ensemble Techniques for Handling Class Imbalance in Indonesian Financial DataGunawan Kurnia, Ditdit Nugeraha UtamaHandling class imbalance is a critical challenge in machine learning applications, particularly in financial domains where minority instances often represent significant anomalies such as fraud or audit risks. Various oversampling and undersampling methods were tested, alongside cost-sensitive adjustments and ensemble models including Random Forest, AdaBoost, Gradient Boosting, and XGBoost. The evaluation, based on 10-fold stratified cross-validation and performance metrics such … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,874 accessesView PDFCite