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51 results for “User Interaction”
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Research ArticleOpen accessIn the abstractFactors Influencing Student Individual Performance of University XYZ Through the Use of Mobile Learning Management SystemStanley Limonthy, Evaristus Didik MadyatmadjaThis study investigates the impact of unsupervised learning within mobile Learning Management Systems (LMS) on student individual performance at university XYZ, Indonesia. We conducted data collection through online questionnaires distributed to university XYZ students and employed Partial Least Squares Structural Equation Modeling (PLS-SEM) for analysis. Our research extends the information system success model by integrating pedagogical and technological dimensions, specifically … …Journal of Computer Science, Vol. 20, Issue 3 · 27 Jan 2024 · 4,987 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Enhanced Neighbourhood and Latent Factor Model for Cold-Start RecommendationsAmritha P, Rajkumar KKAmong different recommendation strategies, collaborative filtering remains a commonly utilized method for generating personalized suggestions. The traditional collaborative algorithms face performance declines due to the sparse rating of data and the item cold-start problem. To overcome these challenges, this paper introduces a novel hybrid model called HCE-KNNCF (Hybrid Cognition-Enabled K-Nearest Neighbor Collaborative Filtering). The proposed model generates predicted rating by … …Journal of Computer Science, Vol. 22, Issue 9 · 21 Sep 2026 · 630 accessesView PDFCite
Research ArticleOpen accessIn the abstractVision Tune: A Deep Learning Framework for Sentiment Driven Video, Image and Music CreationLukesh Rameshpant Kadu, Manoj Deshpande, Vijaykumar PawarArtificial intelligence has enabled powerful generative models for text, images, video, and music, yet most tools still operate independently without a unified, multi-modal workflow. This article proposes an integrated AI framework, Vision Tune, that consolidates these isolated capabilities into a single, sentiment-aware platform for end-to-end media creation. The system leverages deep learning and multi-scope AI models to automatically generate written … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,502 accessesView PDFCite
Research ArticleOpen accessIn the abstractConvSVD++: A Hybrid Deep CF Recommender Model using Convolutional Neural NetworkMohamed Grida, Lamiaa Fayed, Mohamed HassanRecommender systems are powerful systems that give added value to business and corporation. They are relatively recent technology and they will only keep improving in the future. The most widely used algorithms for recommender systems are categorized into the traditional recommender and deep-based recommender system. The traditional recommendation algorithm suffers from sparse data that significantly degrades recommendation accuracy. The hybrid … …Journal of Computer Science, Vol. 16, Issue 12 · 13 Jan 2021 · 6,736 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Automatic Transformation Method from the E3value Model to IFML Model: An MDA ApproachNassim Kharmoum, Soumia Ziti, Yassine Rhazali, Fouzia OmaryNowadays the software industry has known a significant growth, while the end-users have become very demanding. In this sense, the model transformation has become one of the essential solutions to ensure competitiveness in the field of the software industry domain. For that, the Object Management Group (OMG) proposes for the Model-Driven Architecture (MDA) approach three abstraction levels, namely Computation Independent … …Journal of Computer Science, Vol. 15, Issue 6 · 12 Jun 2019 · 7,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractCommunity Aware Recommendation System with Explicit and Implicit Link PredictionMuhammed E Abd Alkhalec Tharwat, Mohd Farhan Md Fudzee, Shahreen Kasim et al.Recommendation systems are essential tools that help users discover content they may be interested in, amidst the vast amount of information available online. However, current methods, such as using historical user-item interactions and collaborative filtering, have limitations in accurately predicting user preferences. Our research aims to address these challenges and improve the performance of recommendation systems. In this article, we … …Journal of Computer Science, Vol. 19, Issue 8 · 19 Jul 2023 · 5,866 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Interaction Flow Modeling Language ToolsNaziha Laaz, Karzan Wakil, Samir Mbarki, Dayang N.A. JawawiModeling approaches based on standards are of paramount importance in the field of front-end design for web and mobile applications. Problems are often encountered during the selection of tools for designing applications for developers and researchers, particularly applications that are related to time and cost in the market and academia. The Interaction Flow Modeling Language (IFML) is a recently standardized … …Journal of Computer Science, Vol. 14, Issue 9 · 5 Oct 2018 · 7,638 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Study: The Effects of Mobile Phone Icons Characteristics on Users’ Age GroupsSyed Ghayas, Salim Amor Al-Hajri, Suziah SulaimanMobile phone applications interfaces offer great support to various age group users. There is a lot of Mobile Human Computer Interaction (here after HCI) research work going on, which is found in User Experience – UX issues. Until now little research work is done on Mobile phone icons and its effect on learn ability for various age group users. The … …Journal of Computer Science, Vol. 14, Issue 8 · 24 Aug 2018 · 8,954 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Front-End User Interface Layer Framework for Reactive Web ApplicationsZhixong Xiao, Chandana Prasad Withana, Abeer Alsadoon, Amr ElchouemiNowadays, people are relying more and more on web applications, such as Gmails, Google Map and Google Docs to complete their daily tasks. However, web applications often fail to provide reactive interactions with users. This paper explores the issues and problems of current web application frameworks and narrowed the research to the User Interface (UI) layer as it is the … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 17 Dec 2017 · 8,682 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Improved Semi-Automated Segmentation Technique with Manual Segmentation: Data from the Osteoarthritis InitiativeHong Seng Gan, Khairil Amir SayutiManual segmentation is the standard procedure in osteoarthritis study. However, this method is infamous for being excessive, time consuming and exhaustive. In this study, we overcame the problem of excessive expert interaction reported in manual segmentation by developing a semi-automated random walks technique with computer-aided labelling system. To minimize expert interaction, non-cartilage seeds were generated by using computer. Then, random … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 24 Oct 2016 · 7,367 accessesView PDFCite