329 articles for “literature data”

Review ArticleOpen accessIn the abstractReview of Fault Tolerance, Replication, and Fragmentation in Grid-Cloud Distributed SystemsMohammed Adam Kunna Azrag et al.The study investigates key aspects of data management in distributed systems, focusing on fragmentation, replication and fault tolerance. With the increasing complexity of modern applications, efficient data handling across multiple nodes has become critical. The study begins by reviewing existing literature and moves on to analyze fragmentation techniques, evaluating their role in optimizing performance and resource utilization. Replication methods are … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,796 accessesView PDF Cite

Review ArticleOpen accessIn the abstractE-Participation Success Factors: A Systematic Literature ReviewElgamar Syam, Alawiyah Abd Wahab, Abdullah HusinE-participation which has emerged from the development of electronic government, is a very interesting phenomenon to study today. However, when e-participation was first introduced, various problems arose, such as the reluctance of citizens to use e-participation as a system that was considered suitable to carry out the process of public participation in government. This problem encourages many researchers to find … …Journal of Computer Science, Vol. 20, Issue 9 · 10 Jul 2024 · 5,682 accessesView PDF Cite

Literature ReviewOpen accessIn the abstractExperiences and Perceptions of Older People Making the Transition to Living in a Care Home: An Integrative Literature ReviewMarie O’Neill, Assumpta RyanGlobally, along with population ageing, there is an increasing trend for older people with complex care needs to reside in care homes. It is recognised that moving into a care home can be a complex and emotional experience for the individual and their families. Despite this there is a paucity of research that takes into consideration an individuals experiences of … …International Journal of Research in Nursing, Vol. 14, Issue 1 · 16 Mar 2023 · 10,646 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPeriodic Service Behavior Strain Analysis-Based Intrusion Detection in CloudS. Priya, R. S. PonmagalThe problem of intrusion detection in cloud environments has been well studied. The presence of adversaries would challenge data security in the cloud by generating intrusion attacks towards the cloud data and should be mitigated for the development of the cloud environment. In mitigating intrusion attacks, there exist several techniques in the literature. The method uses different features like frequency … …Journal of Computer Science, Vol. 20, Issue 2 · 28 Dec 2023 · 5,082 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMapping a Strategic Human Resource Information System for Society 5.0Glisina Dwinoor Rembulan, Evaristus Didik Madyatmadja, Johanes Fernandes Andry et al.Technology implementation in the Society 5.0 era has significant consequences for every industry, especially in the freight service sector. Era Society 5.0 emerged in anticipation of disruption due to the industrial revolution 4.0, which would degrade Human Resources (HR). The amount of information that must be managed related to HR raises problems, namely untidy data management, difficulty accessing employee data … …Journal of Computer Science, Vol. 19, Issue 10 · 18 Sep 2023 · 5,801 accessesView PDF Cite

Research ArticleOpen accessIn the abstractS-CPM: Semantic-Similarity Cluster based Privacy Preservation Model with Cell Generalization PrincipleSatish B Basapur, B S Shylaja, VenkateshTimely data analysis on a wide variety and a large volume of data unveil valuable information or new insights. The analysis results could be used to innovate new avenues in health care service, business and e-service, etc. However, releasing, storing and reusing sensitive data to third parties results in breaching the data privacy of the individual. To combat privacy breach … …Journal of Computer Science, Vol. 18, Issue 3 · 17 Mar 2022 · 6,314 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Secured Blockchain-based Information-Centric NetworkAbdelrahman Sheham Abdellah, Sherif Saif, Hesham E. ElDeeb et al.In this study, we propose an Information-Centric Network (ICN) approach for the Internet as an alternative to the present host-centric architecture. The proposed approach solves present Internet challenges, where most Internet users nowadays are involved in seeking knowledge by searching through large amounts of data, independent of the data's physical locations and these users usually have requests that need prompt … …Journal of Computer Science, Vol. 18, Issue 4 · 17 Apr 2022 · 6,239 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDeep Learning Models for Predicting Stock Closing Prices in the Saudi Stock MarketAreej Alhumaidi, Hoda A. AbdelhafezFinancial time series data are inherently volatile and nonlinear, presenting considerable challenges in accurately forecasting stock market trends. This study aims to predict the closing prices of companies listed on the Saudi stock market by analyzing historical data spanning from 2013 to 2023. To this end, four deep learning models were employed-Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Gated Recurrent … …Journal of Computer Science, Vol. 22, Issue 4 · 22 Apr 2026 · 1,355 accessesView PDF Cite

Literature ReviewOpen accessIn the abstractExtraction Performance of Essential Oils by Hydrodistillation Using Mathematical Models: A Systematic ReviewLenin Quiñones Huatangari, Frank Fernandez Rosillo, Eliana Milagros Cabrejos Barrios et al.Essential oils are complex mixtures of volatile organic compounds valued for their antimicrobial and antioxidant properties, with widespread applications in the food, pharmaceutical, and cosmetic industries. Among the various extraction techniques employed, hydrodistillation remains one of the most widely used methods. The extraction yield of essential oils by hydrodistillation is influenced by multiple factors, and quantifying these through mathematical modelling … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 25 Mar 2026 · 2,508 accessesView PDF Cite

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 PDF Cite