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1,095 results for “information system”
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Research ArticleOpen accessAll words, across the recordContent Based Medical Image Retrieval with Texture Content Using Gray Level Co-occurrence Matrix and K-Means Clustering AlgorithmsB. Ramamurthy, K. R. ChandranProblem statement: Recently, there has been a huge progress in collection of varied image databases in the form of digital. Most of the users found it difficult to search and retrieve required images in large collections. In order to provide an effective and efficient search engine tool, the system has been implemented. In image retrieval system, there is no methodologies … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,452 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEvaluation of an Intelligent Electronic Prescription Ontology Using Open Source Tools: A Botswana Case StudyTshiamo Sigwele, Eunice Okon, Tshepiso Mokgetse, Onkemetse TshenyegoHealthcare interoperability in Botswana is hindered by fragmented information exchange across public and private providers, resulting in prescription conflicts, duplicated treatment, and delayed care. In prior work, we developed the Intelligent Electronic Prescription Ontology (IEPO), an open-source OWL 2 ontology for semantically standardized prescription data exchange. Although IEPO was previously validated using competency question-driven metrics (recall, precision, and F1-score), those … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 513 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordImproving Question Answering System based on a Hybrid TechniqueAyatallah Gamal Abass, Sameh Abd El-Ghany, Ahmed Abo ElfetohQuestion Answering (QA) is a specialized form of information retrieval characterized by information needs that are expressed as natural language statements or questions. Query expansion is an approach which is used to extend question key words with new related words that are not included in question. In this study, anew association rule based question processing model is introduced. This model … …Journal of Computer Science, Vol. 14, Issue 9 · 15 Aug 2018 · 7,983 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHybrid Deep Learning Models for Text Classification: Performance Evaluation of TriDistilBERT and BiGRU ArchitecturesAmira Samy TalaatText can be a valuable source of information, but its unstructured nature makes analysis challenging and time-consuming. Machine Learning (ML) algorithms can efficiently analyze and structure text, enabling organizations to automate processes and uncover insights that support better decision-making. This study focuses on applying ML to a classification problem using two datasets. Four deep learning models are introduced, combining Bi … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,799 accessesView PDFCite
Literature ReviewOpen accessAll words, across the recordLiterature Study on Factors Influencing the Biochemical Analytes Stability in Blood, Serum and Plasma: Systematic ReviewSamia El Mahi, Asmae Tantane, Sanaa Ait Hamou, Said OubraimBlood testing represents an essential phase in diagnosis and treatment. It is important to comprehend the biochemical analytes' stability. This research gathers information from different journals that have investigated the stability of biochemical analytes under different conditions. This research aims to collect and analyze data about conditions that promote stability, conditions that lead to instability, and how stability varies in … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 21 Aug 2024 · 5,198 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPersonalized Recommendation System: Web of Things Using Modular Density-Based Community DiscoveryVinod Patidar, Jayashree A. Patil, Sonika Thapak et al.Community discovery is the cornerstone and core of study in customized recommendation, assembling group features and social network analysis on the web of things. Conventional community discovery methods, however, struggle with difficulties including low accuracy, delayed convergence, modularity resolution limits and more when dealing with more complicated social networks. Because of this, differential evolution and module density are included in … …Journal of Computer Science, Vol. 20, Issue 9 · 21 Jun 2024 · 5,644 accessesView PDFCite
InvestigationOpen accessAll words, across the recordSurvey of Websites and Web Application Security Threats Using Vulnerability AssessmentVincent Appiah, Michael Asante, Isaac Kofi Nti, Owusu Nyarko-BoatengNowadays information has become anasset to many institutions and as a result these institutions have become targets for people with malicious intents to attack these institutions. The web is now an important means of transacting business and without security, websites cannot thrive in today’s complex computer ecosystem as there are new threats emerging as old ones are being tackled. Vulnerability … …Journal of Computer Science, Vol. 15, Issue 10 · 27 Jan 2018 · 9,321 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordGeolocation System Module Creation to Validate User Location Coordinates in an Android Application Using Flutter FrameworkElmer Matthew Japara, Samsul Arifin, Edy IrwansyahThe target audience for this scientific paper's writing is anyone who is interested in the statistical information that will be used to create a method for determining the separation between two coordinate points. Given that as technology advances, a growing number of applications will make use of geolocation data for economic purposes, such as processing location data to maximize product … …Journal of Computer Science, Vol. 19, Issue 8 · 9 Aug 2023 · 6,384 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSM-SCAM YOLO: Enhancing Object Detection with Multi-Scale Module and Spatial Channel Attention MechanismShanmuga Sundari Mariyappan, Kayalvizhi Mohan, K. B. K. S. DurgaDetecting tiny objects remains a significant hurdle in computer vision, primarily due to scale variation, occlusion, and the loss of detail in low-resolution features. Although YOLO-based detectors are popular for their speed and efficiency in real-time tasks, they often struggle with accurately identifying small objects because of information loss during downsampling. This study introduces an improved YOLO-based model that integrates … …Journal of Computer Science, Vol. 21, Issue 6 · 12 Jun 2025 · 3,930 accessesView PDFCite