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Research ArticleOpen accessIn the abstractData Mining: A Preprocessing EngineLuai A. Shalabi, Zyad Shaaban, Basel KasasbehThis study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are three factors that were taken into account. Comparisons between different learning methods were accomplished as they were applied to each normalization method. A new matrix was designed … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 34,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutonomic Middleware Services for Just-In-Time Grid Services ProvisioningWail M. Omar, A. Taleb-Bendiab, Yasir KaramThe advent of widespread distributed computing environment, such as information systems and computational grids computing has enabled a new generation of applications that are based on seamless access, aggregation and interaction. The dramatic side of the story is a strong presence of the plea that those decentralized Grids are potentially affected by a number of primitives derived from their anatomy, … …Journal of Computer Science, Vol. 2, Issue 6 · 30 Jun 2006 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractCulture and Managerial Styles: A Study of Potential Managers in MalaysiaStanley Richardson, Yeap Peik FoongMultimedia University, (MMU) is the oldest and largest private university in Malaysia (a multiracial country). Its main campus in Cyberjaya, Selangor has four Faculties: Creative Multimedia (FCM), Information Technology (FIT), Engineering (FOE) and Management (FOM). English is the language of instruction. A questionnaire based on Basse (1982) was used and 931 usable responses obtained (about a quarter of the population). … …American Journal of Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2004 · 7,185 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Sentiment-Aware Hybrid Ensemble Clustering Framework for Social Network Content Analysis and Community DiscoveryDhimesh Pravinbhai Parmar, Paresh TannaSocial media stages produce huge volumes of short, familiar, and sentiment-rich content that offerings significant encounter for community discovery and thematic analysis. Traditional clustering approach struggle with sparsity, noise, and limited surroundings information present in such texts. To address these limitations, this study introduces a sentiment-aware hybrid ensemble clustering framework designed openly for social network content analysis. The planned method … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,271 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Distillation GAN Model for Network Intrusion DetectionChandrakala C B, Sai Sreevall, Raghudathesh G PThis study presents a distillation-based Generative Adversarial Network (GAN) model designed for intrusion detection in network systems. A Teacher-Student architecture is proposed, in which a single teacher generator is utilized to train both the teacher discriminator and the student discriminator. The model was trained to identify anomalies present in network traffic intrusions by tuning the min-max loss function in GANs. … …Journal of Computer Science, Vol. 22, Issue 2 · 5 Mar 2026 · 1,549 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntelligent Traffic Light System Using Convolutional Neural Network to Optimize Vehicle Flow in IndonesiaBhustomy Hakim, Fergie Joanda Kaunang, Yemima Monica Geasela, Regina HillaryTraffic congestion remains a persistent challenge in major Indonesian cities due to rapidly increasing vehicle density and the continued reliance on fixed-time traffic signal scheduling. This study aims to develop an intelligent traffic light system that dynamically adjusts sequencing based on real-time road conditions. A dataset of 902 CCTV images was collected from intersections in six large cities across Indonesia, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,155 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAutomatic Skin Lesion Diagnosis and Medical ReportGeneration Based on Image CaptioningAbdelouahed Sabri, Chaimae Zouitni, Hamza El Medhoune, Abdellah AarabCaptioning or textual description of the visual content of imagesinvolves generating meaningful words and sentences to describe the contentof an image. This work lies at the crossroads of Natural LanguageProcessing (NLP) and computer vision. When dealing with medical imagesand especially skin lesions, it goes beyond simple classification to generatedetailed textual reports describing the skin lesion's conditioncomprehensively. Such reports are crucial … …Journal of Computer Science, Vol. 21, Issue 5 · 13 May 2025 · 5,422 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFACE RECOGNITION USING RELATIONSHIP LEARNING BASED SUPER RESOLUTION ALGORITHMSenthilSingh, ManikandanThe face recognition is an application which is for identifying a person from a digital image. The common problem that often occurs while identifying the face from image is due to the low resolution in images especially when it is captured from a long distance. In automated face recognition system, this has always been a challeging problem. To overcome this … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 16 Jan 2014 · 6,968 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordResemblance of Rain Fall in Bangladesh with Correlation Dimension and Neural Network LearningAbu Nasir Mohammad Enamul Kabir, Hussain Muhammad Imran Hasan, Mohd Abdur Rashid et al.Rain fall and Temperature are undoubtedly two important factors that balance water in the environment. Adequate study of the rain behavior helps to forecast it. The time series obtained from different stations of the country throughout the several years are collected and analyzed. The dynamics of rain fall time series is analyzed with Correlation Dimension (CD) to characterize the several … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 7,234 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLife Long Learning: Seniors in Second Life ContinuumC. D. Seals, W. Moses, J. Nyagwencha et al.Senior citizens represented the fastest growing demographic worldwide. As indicated in the Year 2000 US Census, there were 35 million people 65 or older in the US and by 2030, it was estimated that there were about 70 million older adults in the US alone. With the older population growing rapidly and being increasingly exposed to computers and technology, it … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,110 accessesView PDFCite