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269 results for “Information System Model”
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Research ArticleOpen accessIn the abstractIntelligent Semantic Universal Search in Mobile PlatformJinhyung Kim, Myunggwon Hwang, Hanmin Jung, Doheon JungProblem statement: As the performance of mobile devices is getting higher, a large quantity of information is stored and managed in mobile devices. Therefore, the precise and intelligent universal search becomes the most important issue in the smart mobile platform. Conclusion/Reommendation: In this study, we suggest the semantic universal search in smart mobile platform facilitated by the ontology; ontology modeling, … …Journal of Computer Science, Vol. 8, Issue 5 · 9 Mar 2012 · 6,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Analysis of Recommender Techniques Employed in the Recommendation EnginesGopinath Ganapathy, P. K. AruneshProblem statement: Recommender Systems (RS) have become a widely researched area as it is extensively used in web usage mining and E-commerce platforms. Approach: There were a number of recommender systems available to suggest the web pages for the web users. Results: A recommender system acted as an intelligent intermediary that automatically generates and predicts information and web pages, which … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,702 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Bidding Strategies for Generation Companies in a Day-Ahead Electricity Market with Risk Management Taken into AccountAzmi Saleh, Takao Tsuji, Tsutomu OyamaProblem statement: In a competitive electricity market with limited number of producers, Generation Companies (Gencos) is facing an oligopoly market rather than a perfect competition. Under oligopoly market environment, each Genco may increase its own profit through a favorable bidding strategy. The objective of a Genco is to maximize its profit and minimize the associated risk. In order to achieve … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 8,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Traffic Light Sequence Algorithm Using RFIDKhalid A.S. Al-Khateeb, Jaiz A.Y. Johari, Wajdi F. Al-KhateebProblem statement: Traffic congestion and tidal flow management were recognized as major problems in modern urban areas, which have caused much frustration and loss of man hours. Approach: In order to solve the problem an intelligent RFID traffic control has been developed. It has circumvented or avoided the problems that usually arise with systems such as those, which use image … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 21,778 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Effective Transmission and Browsing Methodology for Streaming VideoK. K. Thyagharajan, V. RamachandranBrowsing streaming video quickly through Internet with in the available bandwidth is a challenging one and it is also time consuming. The user has to browse, view and listen to the complete video to identify relevant contents. Most of the video summarization techniques presented in research papers are suitable only for stand-alone environments. They are not addressing or analyzing the … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 7,000 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordONCODIAG Select and Test (ST) Algorithm: An Approximate Clinical Reasoning Model for Diagnosing and Monitoring Breast CancerO.N. Oyelade, A.A. Obiniyi, S.B. JunaiduClinical reasoning involves coordinated thinking strategies targeted at gathering and analyzing relevant information to arrive at a high-quality clinical solution to patients' medical problems. The correctness and proper choice of clinical reasoning approach chosen by a clinician or machine affect the accuracy and acceptability of the diagnosis; moreover, another challenge that usually surfaces during clinical reasoning is the burden of … …Current Research in Bioinformatics, Vol. 9, Issue 1 · 22 Feb 2020 · 8,942 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Recommendation-Based Contextual Model for Talent AcquisitionChannabasamma A., Yeresime SureshIt is important to assist the job seekers in selecting the perfect jobs, which suit candidates' current skills and career objectives. Given the job description and resumes in the unstructured form, choosing the best job manually is a tedious task, so there is a need for an automated system to deal with raw data. The extraction of structured information from … …Journal of Computer Science, Vol. 18, Issue 7 · 20 Jul 2022 · 6,130 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordFrom Textural Inpainting to Deep Generative Models: An Extensive Survey of Image Inpainting TechniquesSetika Mehra, Ayush Dogra, Bhawna Goyal et al.Image inpainting is an evolving discipline of image processing with the objective of reconstructing an image by removing unwanted information, adding missing information or presenting the information appealing to the human visual system. In the presented manuscript, we have exhibited an extensive survey of various image inpainting techniques. The effectiveness of the techniques is together summarized with significant comparisons and … …Journal of Computer Science, Vol. 16, Issue 1 · 1 Jan 2020 · 8,727 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 recordCommunity 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