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269 results for “Information System Model”
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Research NotesOpen accessIn the abstractMetadata Stewardship and Quality in Telecom SectorBhola Gan Chaudhuri, Shalli RaniThe spread of the telecom network infrastructure, constellations of satellites and the use of the Internet of Things (IoT) have brought about unprecedented volumes of heterogeneous information which facilitate the contemporary monitoring systems of the environment and the earth. Metadata control and information quality have also become significant in the telecom industry in controlling data reliably, enhancing data services, and … …Journal of Computer Science, Vol. 22, Issue 10 · 22 Oct 2026 · 426 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrative Model for the Study of Attitudes Towards Statistics, Part 1: Establishing the Conceptual ModelMatus Ericka, Matus Lorena, Rodríguez Lucas, de Tristán SvetlanaWe propose a model to study attitudes towardsstatistics in higher education teachers. In the literature, there is a host ofscientific articles aimed at developing and applying measurement instrumentswhose psychometric characteristics are generally statistically acceptable.However, publications on the structure of attitudes and their relationship withteaching are relatively scarce-especially those dedicated to statistics inhigher education. Based on the system of attitudes proposed … …Journal of Social Sciences, Vol. 18, Issue 1 · 19 Sep 2022 · 5,901 accessesView PDFCite
Research ArticleOpen accessIn the abstractFed-Deep CTRL (Light GBM)-Scalable, Interpretable, and Privacy-Preserving Federated Learning Framework for Wireless Intrusion Detection SystemSudaroli Vijayakumar, V. MuthumanikandanA learning-based intrusion detection system automates the understanding and reporting of network traffic information. The systems using neural networks and machine learning have demonstrated good detection accuracy, but the accuracy is entirely reliant on the type and volume of data. Additionally, there are issues with its scalability, privacy, efficiency, and interpretability. With the innovative fed-deep CTRL (light GBM) method, this … …Journal of Computer Science, Vol. 20, Issue 4 · 29 Feb 2024 · 5,327 accessesView PDFCite
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 abstractLooking Inside and Outside the System: Examining the Factors Influencing Distance Learners Satisfaction in Learning Management SystemIbrahim Almarashdeh, Mutasem Khalil Alsmadi, Ghaith Jaradat et al.In the last few years, the use of educational technology, particularly the concept of Learning Management System (LMS), has increased rapidly. With this fast development, the question arises as how to manage the LMS to obtain success and efficiency in online courses. One of the important factors that have received many citations in literature studies (and has a special position … …Journal of Computer Science, Vol. 14, Issue 4 · 5 Apr 2018 · 9,174 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Survey on Fake News Detection Using Machine LearningShraddha Shah, Sachin PatelIn the age of information data surplus and social media impact, the propagation of fake news has developed a significant societal concern. This challenge requires robust tools and methodologies for addressing, with machine learning emerging as a promising approach. The paper reviews different machine learning techniques in fake news detection, including supervised, unsupervised and semi-supervised methods. Supervised methods utilize labelled … …Journal of Computer Science, Vol. 21, Issue 4 · 20 Mar 2025 · 9,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Investigation into Information Security Threats from Insiders and how to Mitigate them: A Case Study of Zambian Public SectorMelissa K. Chinyemba, Jackson PhiriInsider attacks are security breaches posed by an existing or former organizational stakeholder with unrestricted access rights to the resources who, with or without intent, compromises the confidentiality, integrity and availability of organizational data. Zambian public organizations are vulnerable to insider attacks due to a number of factors that include; technology complexity, understaffing, financial gains, lack of security policies and … …Journal of Computer Science, Vol. 14, Issue 10 · 29 Oct 2018 · 8,260 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Static Analysis of Android Source Code for Lifecycle Development Usage PatternsNoura Hoshieah, Samer Zein, Norsaremah Salleh, John GrundyBuilding robust Android apps is a non-trivial task that requires skilled developers to understand various Android platform peculiarities. However, among the Android developers community, a large fractions are considered to be novice and inexperienced developers. One of the main peculiarities in the Android app development is the activity lifecycle model. A developer needs to have deep understanding of the different … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 8,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Observation Study for Cold and Freezing Injury of Sugarcane Based on China Meteorological Administration Land Data Assimilation System, CLDAS Temperature DataYanli Chen, Yongming Luo et al.Based on the China meteorological administration Land Surface Data Assimilation System (CLDAS), the CLDAS temperature product is examined and analyzed using remote sensing information, and a revised temperature model is established for the monitoring and evaluation of sugarcane chilling and freezing damage. The results show that: (1) The CLDAS temperature products are highly positively correlated with the measured temperatures of … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 21 Dec 2023 · 5,002 accessesView PDFCite
Research ArticleOpen accessIn the abstractA STING Algorithm and Multi-dimensional Vectors Used for English Sentiment Classification in a Distributed SystemVo Ngoc Phu, Vo Thi Ngoc TranSentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. Finding a fast, highly accurate solution to classify emotion has been a challenge for scientists. In this research, we have proposed a new model for Big Data sentiment classification in the parallel network environment - a Cloudera system with Hadoop Map (M) and … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 22 Dec 2017 · 7,600 accessesView PDFCite