Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,043 accessesView PDFCite
Review ArticleOpen accessIn the abstractAI-Driven Innovations in Meat Quality and Safety: Applications, Challenges, and Future DirectionsEmrobowansan Monday IdamokoroArtificial Intelligence (AI) is revolutionizing the meat sector by improving efficiency, accurateness, as well as sustainability in meat production, quality evaluation, and safety control. The conventional systems of meat inspection, handling, and processing are usually time consuming, labour-intensive, prone to contamination during handling and often susceptible to human errors. The use of artificial intelligence to drive technologies, including Deep Learning … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 3,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Construction of a Smart Meter with Embedded Web PortalDavid Mike-Ewewie, Ayodele Ifijeh, Victoria Oguntosin et al.The absence of the necessary infrastructure to make an accurate and precise collection of data when compared to the first-world countries in the power industry is great. Due to that, the need for the deployment of smart meters has increased in order to offer consumers and customers awareness of their electricity usage, helping them lower their total energy footprint. In … …Journal of Computer Science, Vol. 20, Issue 8 · 14 Jun 2024 · 5,279 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,778 accessesView PDFCite
Review ArticleOpen accessIn the abstractIOT-Based Smart Helmet for COVID-19 Detection and ManagementFoziah GazzaweCovid-19 is one of the pandemics that has shocked the world. Having originated from China, the virus rapidly spread across many countries of the world. There was a need to come up with mechanisms to manage the spread of the virus. The traditional methods of temperature capture through thermal handheld gun thermometers were tedious and exposed the officers to the … …Journal of Computer Science, Vol. 19, Issue 11 · 14 Nov 2023 · 6,052 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Warehouse Design to Support Social Media Analysis in a Big Data EnvironmentCarlos Roberto Valêncio, Luis Marcello Moraes Silva, William Tenório et al.The volume of generated and stored data from social media has increased in the last decade. Therefore, analyzing and understanding this kind of data can offer relevant information in different contexts and can assist researchers and companies in the decision-making process. However, the data are scattered in a large volume, come from different sources, with different formats and are rapidly … …Journal of Computer Science, Vol. 16, Issue 2 · 20 Feb 2020 · 8,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Cluster Head Selection in IoV-Enabled VANETs Using a Federated Diffusion Convolutional Recurrent Neural Networks FrameworkP Subhash, Madana Srinivas, A. Ranjith et al.The IoV enables the formation of VANETs that require a strong selection of CHs for effective communication within high-velocity changing traffic scenarios. Existing approaches often face issues related to scalability, privacy, and adaptability. To meet the aforementioned urgent needs, we design a decentralized scheme for intelligent CH selection based on Federated Learning with Diffusion Convolutional Recurrent Neural Networks (DCRNNs). According … …Journal of Computer Science, Vol. 22, Issue 10 · 1 Oct 2026 · 612 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrincipal Component Analysis of the Female Pengging Soloan Duck Based on Morphometric TraitsRini Nur Hayati, Subiharta, Yudi Adinata et al.The Pengging Soloan duck is an emerging indigenous genetic resource from Central Java, Indonesia, recognized for its adaptability and egg-laying potential. However, its phenotypic characterization remains limited compared with established Indonesian duck breeds such as Mojosari, Tegal, and Magelang ducks. This study aimed to characterize 70 adult female Pengging Soloan ducks aged 5 6.5 months using Principal Component Analysis (PCA) … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 3 · 10 Sep 2026 · 952 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing User Satisfaction and System Trust through Gamification in E-Commerce PlatformsMontela Livanto, Viany Utami TjhinThe increasing adoption of gamification in e-commerce platforms has significantly transformed how people use, engage, and develop their trust in digital systems. Despite this, few empirical studies have so far investigated the integration of gamification with the DeLong and McLean IS Success Model to develop theories of user satisfaction and system trust in emerging markets. This study examines the influence … …Journal of Computer Science, Vol. 22, Issue 4 · 31 Mar 2026 · 1,578 accessesView PDFCite
Research ArticleOpen accessIn the abstracte-Governance Practices in Nepal: Opportunities, Challenges, and Strategies from the Local LevelReg Bahadur Bhandari, Nirav Bhatta et al.This research explores the integration of digital tools for e-governance at local levels in Nepal, with a particular emphasis on the current state of digitalization and the opportunities and challenges encountered at the local level. We collected data using a qualitative research methodology, conducting semi-structured interviews and reviewing relevant documents. The findings reveal substantial advancements in digital tools for public … …Journal of Computer Science, Vol. 22, Issue 1 · 16 Feb 2026 · 2,199 accessesView PDFCite