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Review ArticleOpen accessIn the abstractAdopting Artificial Intelligence in ERP Systems as an Innovation to Support Business Growth: A Systematic Literature ReviewAmalia Sulfinita Lawendatu, Fajar Hidayat, Fathy Radhia, Sugiarto HartonoDigital transformation is driving the integration of Artificial Intelligence (AI) into Enterprise Resource Planning (ERP) systems as an innovative strategy to improve organizational competitiveness. However, consolidated knowledge regarding the benefits and challenges of this integration remains scarce. This study utilizes a Systematic Literature Review (SLR) in accordance with the PRISMA framework to analyze 31 peer-reviewed articles published between 2020 and … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,105 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Dynamic Lifelong Learning Network for Real-Time Stock Prediction With Reinforcement TuningTalent Mawere, Selvaraj Rajalakshmi, Venu Madhav Kuthadi, Otlhapile DinakanyaneCompanies and investors require accurate market forecasting to make more informed decisions. Traditional methods for predicting stock market performance have become less useful considering the dynamic and volatile nature that characterizes stock markets today. In this paper, we propose an innovative Dynamic Lifelong Learning Network for stock market prediction. The model incorporates a hybrid convolutional long short-term memory with an … …Journal of Computer Science, Vol. 22, Issue 2 · 20 Feb 2026 · 1,822 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Food Expenditures in Nigeria: A Case Study of Lafia, Nasarawa StateOlusola Collins Akeremale, Imam Akeyede, Ishaku Audu, Adekemi O. AkeremaleCurrently, the prices of commodities in Nigeria are consistently rising owing to several variables, including economic conditions, political influences, and technical progress. Consequently, the cost of essential items, including food, has risen significantly. Consequently, they often disregard nutritious dietary habits and fail to obtain adequate daily nutrients. This will lead to several repercussions, including diseases, disorders, and less vitality for … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 12 Feb 2026 · 2,525 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Dynamic AI Maturity Model for Agile Audit: A Roadmap for Enhanced Effectiveness and InnovationSoumaya Amraoui, Mina Elmaallam, Mahmoud NassarThe intersection of Artificial Intelligence (AI) and agile methodologies is transforming information systems audit by enabling real-time risk assessment, anomaly detection, and automated control testing. These capabilities enhance the security, efficiency, and reliability of IT environments. This article introduces a dynamic AI maturity model for agile audit, structured into five levels of AI integration. Each level reflects increasing AI capabilities … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,269 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Diabetes Risk Prediction Using Ensemble Boosting and SMOTE-Based Class BalancingKittipol Wisaeng, Pankom Sriboonlue, Benchalak MuangmeesriAccurate diabetes prediction is vital for early intervention, optimized resource allocation, and minimizing long-term complications. This study presents a comparative evaluation of traditional and advanced machine learning models for diabetes classification using a structured clinical dataset. Seven baseline algorithms were assessed against five advanced ensemble methods: CatBoost, LightGBM, XGBoost, Voting Ensemble, and Stacking Ensemble. To improve algorithm learning, the Synthetic … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Feb 2026 · 1,976 accessesView PDFCite
Research ArticleOpen accessIn the abstractHacking Back: Using Genetic Algorithms to Outsmart HackersGhosoun Al Hindi, Mohammad Alshraideh et al.Web applications are widely used in today's digital landscape, necessitating robust security measures to protect against unauthorized access by malicious users. Ensuring the security of these applications requires effectively identifying and addressing vulnerabilities. This paper proposes an automated methodology for vulnerability detection, utilizing a genetic algorithm to generate test cases, which offers greater efficiency and performance compared to resource-intensive and … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Chatgpt by Pediatric Physicians in the Management of Childhood Asthma in the City of Marrakech (Morocco)Maryem Labyad, Ghizlane Draiss, Karima El Fakiri et al.Pediatric asthma is a chronic disease requiring continuous management, where digital tools, such as ChatGPT, are beginning to play a vital role, in optimizing physicians' efficiency, reducing their workload, and improving communication with patients. However, its integration raises questions about the accuracy of the information provided and data security. In addition, the use of ChatGPT in clinical practice remains little … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 28 Jan 2025 · 4,726 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data-Sharing Model to Secure Borders Using an Artificial-Intelligence-Based Risk Engine and Big-Data ConceptsMohammad S. Al Rousan, Benedetto IntrigilaThe primary aim of this research is to develop a framework for data management and sharing that will enable countries to share complex data about known and unknown high-risk passengers to streamline border-control security processes through the use of big data analytics and Artificial Intelligence (AI). A total of 15 semi-structured interviews were used to gather qualitative data. A thematic … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 2 May 2022 · 6,937 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombining Model-Based Testing and Failure Modes and Effects Analysis for Test Case Prioritization: A Software Testing ApproachAtifi Meriem, Marzak AbdelazizDue to The complexity of modern software projects and the increasing size of software systems, it becomes difficult to manually perform tests with limited resources. Also, manual testing cannot assure that the software is tested using all possible combinations of inputs. Therefore, automate software testing activities have become primordial in the Software Development Life Cycle (SDLC). Model-based testing is a … …Journal of Computer Science, Vol. 15, Issue 4 · 4 Apr 2019 · 8,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring the Knowledge, Recognition and Management of Delirium amongst Nursing Home StaffSusan McGrory, Marie O’Neill, Paul SlaterResearch into nursing knowledge of delirium has revealed a lack of adequate understanding in a variety of settings. The negative impacts of delirium on older adults are well documented and it is recognized that residents of nursing homes are a high-risk group. Little research so far has explored the knowledge of staff and care processes for the management of delirium … …International Journal of Research in Nursing, Vol. 15, Issue 1 · 27 Sep 2024 · 8,121 accessesView PDFCite