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Research ArticleOpen accessIn the abstractForecasting 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 · 1,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative 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 abstractMultivariate Analysis of Gestational Diabetes Risk Factors in a North African Population: A Call for Targeted Maternal Health InterventionsHafssa Abdellaoui, Nadia Ouzennou, Adnane Hakem, Samia RkhaGestational Diabetes (GD) is a multifactorial condition influenced by demographic, anthropometric and obstetric determinants. Identifying predictive factors is essential to anticipate the disorder, guide prevention strategies and reduce maternal and neonatal complications. To assess the risk factors associated with GDM in pregnant women in the Marrakech-Safi region, in order to fill a gap in national data. A retrospective cross-sectional study … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 10 May 2026 · 1,531 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeterminants of Property Ownership With a Proxy of Land and House Among Scheduled Caste Men in India: Evidence from NFHS-5Riti Deshmukh, Sabina Bano, SakshiIn postmodern societies, social stratification plays an important role in determining access to economic resources, such as property ownership, as seen in many developing countries, like India. Indian culture subtly favours men when it comes to access to resources. For instance, questions arise about whether all men in Indian society are treated equally and have equal access to resources. Very … …Journal of Social Sciences, Vol. 22, Issue 1 · 21 Apr 2026 · 2,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrevalence and Determinants of Antibiotic Use by the Elderly in Marrakech, MoroccoNaima Aoutil, Mohamed Cherkaoui, Mohamed BouskraouiAntibiotics are essential for the prevention and treatment of bacterial infections; however, their inappropriate use among elderly populations poses serious risks, including the emergence of multidrug-resistant organisms. Antimicrobial resistance has become a critical global public health challenge, with irrational antibiotic use being one of its primary drivers. In Morocco, data on antibiotic use among older adults remain scarce, particularly regarding … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 13 Apr 2026 · 1,365 accessesView PDFCite
Research ArticleOpen accessIn the abstractRisk Factors for Bovine Tuberculosis Transmission in Burkina Faso’s Cattle HerdsArouna Zoungrana, Pingdwende Albert Patrick Vokouma, Badjibassa Akounda et al.Bovine tuberculosis is a zoonotic disease, primarily caused by Mycobacterium bovis, that poses a serious threat to both human and animal health. Understanding the risk factors that contribute to its spread is critical for developing effective prevention and control strategies. This cross-sectional study investigated risk factors associated with bovine tuberculosis in cattle herds in Burkina Faso. A structured survey questionnaire … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 1 · 11 Apr 2026 · 1,402 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning TechniquesMohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh ZureigatThis study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,567 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigating Campylobacter Spp. in Mekong Delta Duck Farms: Prevalence, Risk Factors, and Antibiotic ResistanceNguyen Vu Thuy Hong Loan, Le Trung Kien, Do Ngoc Yen Phuong et al.Campylobacter spp. is a leading cause of gastroenteritis worldwide, contributing to significant health and economic burdens, especially in poor hygiene practices. Investigating this bacterium's prevalence and antibiotic resistance in ducks from the Mekong Delta is essential, as the region's extensive duck farming industry presents a potential risk for transmission to humans through the food chain. During August 2024 to February … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 8 Feb 2026 · 1,615 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,051 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Prediction Model for Predictive Maintenance Based on K-Nearest Neighbor Method for Air Navigation Equipment FacilitiesRachmat Hidayat, Ditdit Nugeraha UtamaThe aging of air navigation facilities leads to a decline in equipment performance and reliability, posing significant challenges for aviation organizations in the large-scale replacement of outdated systems, as well as in managing budgets and resources. To address these issues, a performance prediction model for equipment was developed using the K-Nearest Neighbor (KNN) method, aimed at enhancing maintenance planning and … …Journal of Computer Science, Vol. 21, Issue 4 · 4 Mar 2025 · 5,653 accessesView PDFCite