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Research ArticleOpen accessIn the abstractEnhancing Social Media Face Emotion Recognition Using a Fuzzy ELM ApproachShuchi Gupta, K. Viswanath, S. Gokul Pran et al.Our computational tools for searching, exploring, and sharing personal photographs are falling behind the rapid pace at which these images are being captured digitally. The use of automatic face recognition to categorize images according to the people in them is one potential solution. Accurate recognition on the Internet scale, however, presents the seemingly insurmountable challenge of picking out specific people … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,991 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach Based on Federated Learning for the Identification of Man in the Middle Attacks in IOT Networks Using BlockchainSarumathi S, Juliet Johny, Minal Khandare et al.Federated Learning (FL) enables cooperative model training across dispersed edge devices while protecting data privacy and providing localized insights without the need for centralized data aggregation. In the Internet of Things (IoT), federated learning enables cooperative model training among dispersed edge devices while protecting data privacy and providing localized insights without the need for centralized data aggregation. Nevertheless, Federated Learning’s … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,618 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Literature Review on Data Integration: Issues, Data Types, ArchitectureMimi Haryani Tasani, Mohd Kamir YusofData integration is an important process that enables organizations to merge data from various sources, creating a consolidated viewpoint that supports better decision-making, increased effectiveness, and deeper insights. Although data integration has advantages, it also comes with difficulties like maintaining data quality, adhering to compliance regulations, resolving technical issues, and merging with older systems. Effective management of data quality, robust … …Journal of Computer Science, Vol. 22, Issue 2 · 18 Feb 2026 · 1,815 accessesView PDFCite
Research ArticleOpen accessIn the abstractMERAKI: An Online Collaborative Learning Platform Developed Using the UWE MethodologyPercy De-la-Cruz-VdV, Yesenia Torres-Donayre, Hugo Vega-Huerta et al.In the digital era, education has evolved with the integration of technologies that optimize the teaching-learning process. This article presents the need for more efficient online collaborative environments that overcome the limitations of traditional platforms, fostering meaningful interaction between students and teachers. To address this need, the collaborative platform “MERAKI” was developed using the UML-Based Web Engineering (UWE) methodology. This … …Journal of Computer Science, Vol. 21, Issue 12 · 10 Jan 2026 · 2,149 accessesView PDFCite
Research ArticleOpen accessIn the abstractSafeguarding Electronic Health Records: A Review of Privacy and Security in EHR WorkflowsGayathri Hegde M, P. Deepa Shenoy, Venugopal K RElectronic Health Records (EHRs) have revolutionized the healthcare industry by improving the accessibility to patient data, optimizing workflows and refining clinical decision making. The increasing use of digital records raises serious privacy and security concerns, particularly about healthcare data storage and management, access and retrieval, and sharing and interoperability. This survey paper comprehensively reviews existing privacy-preserving and security-enhancing approaches across … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 2,244 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Feature Reduction Techniques for Enhanced Network Threat Detection in Wireless Sensor NetworksBikash Kalita, Satyajit SarmahThe security of Wireless Sensor Networks (WSNs) is currently seriously threatened by numerous threats. Consequently, a number of applications are offered to regulate data and information sharing along with the related security features that need to be maintained throughout data transfer. This study suggests an intelligent feature reduction methodology based on machine learning that uses Modified Principal Component Analysis (MPCA) … …Journal of Computer Science, Vol. 21, Issue 8 · 10 Oct 2025 · 2,295 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Data Transmission Security through the Modified Hill Cipher and Henon Map Chaos FunctionSamsul Arifin, Kevin Tan, Felix Indra Kurniadi et al.The advancement and sophistication of technology in the present era have resulted in millions of people interacting and sharing data through the internet using various platforms such as email, chat applications, and others. This has led to the dissemination of personal information and data worldwide through the internet, which also poses the possibility of data interception by unauthorized parties. Data … …Journal of Computer Science, Vol. 21, Issue 6 · 28 Jun 2025 · 3,646 accessesView PDFCite
Research ArticleOpen accessIn the abstractFedLoBA-1: A Load Balancing Architecture for Mitigating Resource Overloading in Federated Cloud InfrastructuresDamola Gideon Akinola, Emmanuel Adetiba et al.In a subscription-based service such as cloud computing, clients have scheduled access to shared resources such as data, software, storage, and other assets as needed. Despite several benefits, cloud computing still faces significant difficulties. Load balancing, which is the capacity of the cloud infrastructure to equally distribute tasks among the resources in the cloud environment has significant issues. Cloud federation … …Journal of Computer Science, Vol. 21, Issue 2 · 23 Jan 2025 · 6,334 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Resource Allocation and Task Scheduling in a Cloud Computing Environment using Swarm IntelligencePanuganti Hanumantha Rao, Rajakumar Subramanian, Geetha SomanThe new age of network-based computing, known as "cloud computing," is characterized by the distribution and sharing of resources over a network. These resources are available to anyone through the Internet on a pay-per-use basis. Any service that anybody uses can generate massive amounts of data. Therefore, in this scenario, there will be a significant cost associated with transferring data … …Journal of Computer Science, Vol. 20, Issue 12 · 7 Nov 2024 · 4,719 accessesView PDFCite
Review ArticleOpen accessIn the abstractUnveiling the Factors Influencing Social Media Usage Among A'Sharqiyah University Students: Exploring Impacts and Pathways to OptimizationHamed Al Hajri, Salim Al Hajri, Alycia SebastianSocial media networks facilitate global connectivity and communication by providing platforms for users to interact, share information, and build communities online. This study aims to explore the impact of utilizing Social Media Networks (SMNs) on the academic attainment of A’Sharqiyah University students in the Sultanate of Oman. It recognizes the global significance of SMNs in modern society, emphasizing their role … …Journal of Computer Science, Vol. 20, Issue 11 · 5 Sep 2024 · 4,875 accessesView PDFCite