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106 articles for “Decision Support System”
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Research ArticleOpen accessIn the abstractModerating Effects of IT Applications on IT Capability and Competitive AdvantageLew Sook LingGenerally, this study aims to assist domestic companies to determine appropriate Information Technology (IT) applications to attain Competitive Advantage (CA). Specifically, this study aims to assess enhancement causes by IT applications between IT capability and CA. A new CA model by incorporating IT applications in organizations is then proposed. Pilot study was used to test a set of newly developed … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 5 Oct 2017 · 7,976 accessesView PDFCite
Research ArticleOpen accessIn the abstractEconomic Efficiency Analysis for Information Technology in Developing CountriesGhassan F. Issa, Shakir M. Hussain, Hussein Al-BahadiliProblem statement: The introduction of Information Technology (IT) to government institutions in developing countries bears a great deal of risk of failure. The lack of qualified personnel, lack of financial support and the lack of planning and proper justification are just few of the causes of projects failure. Study presented in this study focused on the justification issue of IT … …Journal of Computer Science, Vol. 5, Issue 10 · 30 Oct 2009 · 6,901 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordData Warehouse System to Support Condition Health Care of ElderlyRattanawadee PanthongMaeka Health Promotion Hospital conducts a survey on health conditions and collects the data involving activities or organization operations each year, particularly, the data on the elderly health care having too much. This might lead to difficulties in searching and analyzing the information. To solve this problem, it is essential to rely on tools and information technology in making a … …Journal of Computer Science, Vol. 20, Issue 12 · 27 Oct 2024 · 4,354 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 · 2,792 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntelliHealth: A Machine Learning Driven Disease Detectionand Diet recommendation SystemAnkita Wadhwan, Priyanka Chawla, Sandeep Kaur, Usha MittalPeople all around the world are afflicted with various ailments. An accurate diagnosis can lower the risk of significant health problems developing, but an inaccurate diagnosis could have adverse implications. In this study, an ensemble-based strategy "IntelliHealth" has been presented to identify disorders of the thyroid, liver, and breast cancer using three machine learning (ML) approaches consisting of Support Vector … …Journal of Computer Science, Vol. 21, Issue 6 · 28 May 2025 · 5,226 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPlant Computational Modelling of Green Amaranth Plant for Investment Analyst using FSPM-GroIMP and Fuzzy LogicBakti Amirul Jabar, Ditdit Nugeraha UtamaFunctional-Structural Plant Modelling (FSPM) isplant modeling that considers morphology, physiology, and statistical data. Oneof the software for FSPM is the Growth-Grammar Interactive Modelling Platform (GroIMP).GroIMP is a Java-based platform using the XL language, which is a languagedeveloped from System-L. This study aims to build a virtual plant model ofgreen amaranth (Amaranthus Sp.) in a hydroponic planting systemfor strategic decision-making. In … …Journal of Computer Science, Vol. 18, Issue 8 · 4 Aug 2022 · 5,993 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSmart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble LearningAbrar M. AlajlanThe exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditional intrusion detection systems often struggle with high false alarm rates, limited generalization, and inefficiency in processing high-dimensional heterogeneous IoT data. To address this issue, a novel Hybrid Quantum-Enhanced Kernel Ensemble Learning … …Journal of Computer Science, Vol. 22, Issue 3 · 12 Mar 2026 · 1,762 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordAdopting Artificial Intelligence in ERP Systems as an Innovation to Support Business Growth: A Systematic Literature ReviewAmalia Sulfinita Lawendatu, Fajar Hidayat, Fathy Radhia, Sugiarto HartonoDigital transformation is driving the integration of Artificial Intelligence (AI) into Enterprise Resource Planning (ERP) systems as an innovative strategy to improve organizational competitiveness. However, consolidated knowledge regarding the benefits and challenges of this integration remains scarce. This study utilizes a Systematic Literature Review (SLR) in accordance with the PRISMA framework to analyze 31 peer-reviewed articles published between 2020 and … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,105 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFall Detection Using the Histogram of Oriented Gradients and Decision-Based FusionMohamed Maher Ben Ismail, Arwa AlGabas, Ouiem BchirAs the number of fall incidents among elderly people and patients are continuously growing, researches boosted their researches to propose efficient automatic fall detection systems. In particular, they formulated the fall detection problem as a supervised learning task where some visual features are extracted from the video frames and used to automatically identify the position of a human as “Fall” … …Journal of Computer Science, Vol. 16, Issue 2 · 26 Feb 2020 · 7,500 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Ontological Approach for Dental Extraction Decision Making and Knowledge Dissemination – A Pilot Study for Dental Extraction ForcepsShanmuganathan Vasanthapriyan, Kuhaneswaran BanujanTooth extraction is one of the most usual surgical procedure in the field of dental. Not having proper knowledge of tooth and extraction instruments may cause too much complexity in extraction procedure or even some damages to patients’ jaws. Mainly when using extraction forceps, the proper forceps should be used according to the teeth and the situation. So, it is … …Journal of Computer Science, Vol. 15, Issue 6 · 24 Jun 2019 · 7,417 accessesView PDFCite