Research ArticleOpen accessIn the abstractEmpirical Study on Applications of Data Mining Techniques in HealthcareHarleen Kaur, Siri Krishan WasanThe healthcare environment is generally perceived as being ‘information rich’ yet ‘knowledge poor’. There is a wealth of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain. Valuable knowledge can be discovered … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 9,841 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Classification Framework for Model TransformationNaveen Prakash, Sangeeta Srivastava, Sangeeta SabharwalWide usage of model transformation in the Information Systems has resulted in a number of transformation approaches recently. In order to provide an insight into the existing transformation approaches, to draw out the practicability and analyze the strengths and weaknesses of these approaches a multidimensional classification is required. In this paper, a classification framework is proposed which provides a multidimensional, … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 7,076 accessesView PDFCite
Research ArticleOpen accessIn the abstracte-Learning Based on Context Oriented Semantic WebS. Hatem Muna, A. Ramadan Haider, C. Neagu DanielThe Semantic Web has opened new horizons for internet applications in general and for e-Learning in particular. The e-Learning community is aiming at having much more effective services than what is currently provided by any of the available computer aided tutoring, or learning management systems. The e-Learning process is no more restricted to providing courses online. Nowadays, knowledge is distributed … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 6,640 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Slope Assessment System in Predicting Landslides along Roads Underlain by Granitic FormationBujang B.K. Huat, S. JamaludinA slope assessment is to estimate the probability of occurrence and likely severity of landslides in a given area. This study evaluates two existing Slope Assessment Systems (SAS) for predicting landslide at the micro level of assessment developed by the Public Works Department of Malaysia, namely the Slope Information Management System (SIMS) and the Slope Management and Risk Tracking System … …American Journal of Environmental Sciences, Vol. 1, Issue 2 · 30 Jun 2005 · 6,578 accessesView PDFCite
Research ArticleOpen accessIn the abstractWill Financial Analysts Mistake Stocks of Good Companies for Good Stocks? Evidence from Taiwan Stock MarketI-Ju ChenIt has been shown that the individual or institutional investors rely on the information provided by the financial analysts. A good stock recommended by financial experts is expected to make profit to the investors. However, due to the cognitive biases, the financial analysts or investors are probably confused in the firm characteristics between the good stocks and the stocks of … …American Journal of Applied Sciences, Vol. 2, Issue 1 · 31 Jan 2005 · 6,810 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntegrated Security Framework for Private Cloud Computing On-PremisePedro Ramos BrandaoDevelopment of a globally integrated framework, intended for implementation in a private on-premise cloud computing framework, structurally based on virtualization technologies, cloud computing, encryption, high availability and redundancy systems, data protection systems, governance, active steering, network monitoring systems, risk analysis and physical infrastructure protection. …Journal of Computer Science, Vol. 16, Issue 12 · 31 Dec 2020 · 7,160 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 · 2,799 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSM-SCAM YOLO: Enhancing Object Detection with Multi-Scale Module and Spatial Channel Attention MechanismShanmuga Sundari Mariyappan, Kayalvizhi Mohan, K. B. K. S. DurgaDetecting tiny objects remains a significant hurdle in computer vision, primarily due to scale variation, occlusion, and the loss of detail in low-resolution features. Although YOLO-based detectors are popular for their speed and efficiency in real-time tasks, they often struggle with accurately identifying small objects because of information loss during downsampling. This study introduces an improved YOLO-based model that integrates … …Journal of Computer Science, Vol. 21, Issue 6 · 12 Jun 2025 · 3,930 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUbiquitous Health Monitoring Systems: Addressing Security ConcernsMahmoud Elkhodr, Seyed Shahrestani, Hon CheungProblem statement: It is important to secure the transmission of patient’s EHR in remote health monitoring systems. Security is among the main issues that need to be realized for the adaption of this monitoring technology. The face of healthcare is changing as ubiquitous computing technologies are being incorporated into the existing infrastructure. We specify the requirements, needed security mechanism, outstanding … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 7,411 accessesView PDFCite