Research ArticleOpen accessEvery word in the titleThe Relationship between School, Class and Co-Curriculum Absenteeism on the Academic Performance of Selected Secondary SchoolAzizi Yahaya, Jamaludin Ramli, Shahrin Hashim et al.Problem statement: The purpose of this study is to identify the relationship between causes of truant, types of truant and activities done during truant against academic achievement among the lower secondary students. Approach: The research instrument used in this study was questionnaire with Likert scale. The respondents for this study were 80 students were randomly chosen as respondents through simple … …Journal of Social Sciences, Vol. 5, Issue 4 · 31 Dec 2009 · 8,102 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDoes Subjective Class Predict the Causal Attribution for Poverty?Ramzi N. NasserThis study investigated the attributions for poverty among secondary school and university students in relation to socio-economic. The questionnaire was adapted from Feagin's[1] and Abouchedid & Nasser[2], and included 15-item poverty questionnaire. It was administered to a sample (n = 242) of secondary school and university students from public and private schools and universities in Lebanon. Findings showed that Lebanese … …Journal of Social Sciences, Vol. 3, Issue 4 · 31 Dec 2007 · 7,726 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOn a Class of Nonhomogeneous Fields in Hilbert SpaceRaéd HatamlehTwo-parametric semigroups of operators in Hilbert space with bounded infinitesimal doubly commuting operators are studied. The characteristics describing deviation of a semigroup from unitary one, when infinitesimal operators are unitary, in particular, nonunitary index, have been introduced. Necessary and sufficient conditions for nonunitary index finiteness have been obtained. …Journal of Mathematics and Statistics, Vol. 3, Issue 4 · 31 Dec 2007 · 6,686 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Authoring Tool for As-in-Class E-lectures in E-learning SystemsNael HirzallahThis study lists and discusses the basic features that any E-Learning system should consider. It also proposes an authoring algorithm, namely Slide Generating Algorithm that uses the Authoring-on-the-Fly approach to create electronic course content from real lectures. A tool using the proposed algorithm was implemented packaging the outcome in a SMIL format including audio, video, and slides considering lecturer notes, … …American Journal of Applied Sciences, Vol. 4, Issue 9 · 30 Sep 2007 · 7,362 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Possibility of Cyclical Behavior in a Class of Dynamic ModelsAnjan MukherjiThe study investigates conditions under which endogenous cyclic behavior may be observed within the context of Predator-Prey (Lotka-Volterra) Models. The analysis also establishes conditions under which such behavior is non-existent and hence establishes conditions for global convergence to the interior equilibrium, whenever it exists. The results are then applied to two diverse sets of economic exercises and shows how the … …American Journal of Applied Sciences, Vol. 2, Issue 13 · 9 Dec 2005 · 7,602 accessesView PDFCite
Research ArticleOpen accessIn the keywordsForecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management TechnologyKanjana Hinthaw, Warawut NarkbunnumFinancial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This study develops an integrated machine learning framework that combines feature selection, class imbalance handling, threshold optimization, and Explainable Artificial Intelligence (XAI) to improve both predictive performance and decision-making reliability. Using a dataset of … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 1,135 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,549 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIntelligent Intrusion Detection System Using RF, SVM, and DT: A Comparison-Based KDD Data SetWalaa Hassan Elashmawi, Alaa Sheta, Ahmad Al-QeremThe rapid growth of technology has brought about many advantages, but has also made networks more susceptible to security threats. Intrusion Detection Systems (IDS) play a vital role in protecting computer networks against malicious activities. Given the dynamic and constantly evolving nature of cyber threats, these systems must continuously adapt to maintain their effectiveness. Machine Learning (ML) methods have gained … …Journal of Computer Science, Vol. 21, Issue 8 · 28 Aug 2025 · 5,821 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparative Analysis of Smote and CSSF Techniques for Diabetes Classification Using Imbalanced DataBashar Hamad Aubaidan, Rabiah Abdul Kadir, Mohamad Taha IjabDiabetes, a prevalent chronic metabolic disorder, poses a significant burden on healthcare systems worldwide. Accurate and timely diagnosis is crucial for effective management and complication prevention. Machine learning presents a promising solution but often faces challenges due to class imbalance within datasets, particularly the underrepresentation of diabetic cases. To address this issue, we introduce Cluster-based Synthetic Sample Filtering (CSSF), a … …Journal of Computer Science, Vol. 20, Issue 9 · 22 Jul 2024 · 5,005 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSoft Marking Scheme of SVM Hierarchical Classifiers for Attack ClassificationAzizi Abdullah, Warhamni Jani@MokhtarClassification is a predictive modelling problem that involves assigning a class label to an instance correctly. There exist several strategies in machine learning to deal with the multi-class classification problems for attack detection. One of the popular strategies is the one-vs-one that decomposes the multi-class problem into multiple binary ones. The approach has been applied in many popular supervised learning … …Journal of Computer Science, Vol. 17, Issue 9 · 27 Sep 2021 · 6,006 accessesView PDFCite