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167 results for “Open Data”
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Research ArticleOpen accessIn the abstractTopologies Induced by Relations with ApplicationsA. S. SalamaTopological structures induced by relations represents the process of extracting interesting decision rules from data. The attributes reduction and the calculation of core are the essentials to extract the decision rules. Finding the reducts, core and decision rules topologically is a new mathematical tool for discovering attribute dependencies in information systems. Problem statement: These mathematical tools employ some concepts from … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 7,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractPublishing Geospatial Data through Geospatial Web Service and XML Database SystemPouria Amirian, Ali A. AlesheikhTechnically the spatial non-interoperability problem associated with current geospatial processing systems can be categorized as data and access non-interoperability. In GIS community, Open GIS Consortium (OGC) geospatial Web services have been introduced to overcome spatial noninteroperability problem associated with most geospatial processing systems. At the same time, in Information Technology (IT) world, the best solution for providing interoperability among heterogeneous … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 6,836 accessesView PDFCite
Research ArticleOpen accessIn the abstractCustomized Privacy Preservation Using Unknowns to Stymie Unearthing Of Association RulesJ. Indumathi, G.V. UmaThe explosions of new data mining techniques has augmented privacy risks because now it is probable to powerfully coalesce and cross-examine massive data stores, accessible on the web, in the rummage around of earlier unidentified hidden patterns. Consecutively to make a overtly accessible system safe and sound, we must guarantee not only that private sensitive data have been trimmed out, … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractOpen ended-coaxial Cable Measurements of Saturated Sandy SoilsAlberto GodioThe application of electromagnetic methods in the radar and micro-wave frequency band allows the fluid content of soils to be estimated; the heuristic or physically-based models permit to relate the observed electrical permittivity of the soils with the porosity and fluid saturation. The role of the effect of the free water and bound water in the overall electromagnetic behaviour of … …American Journal of Environmental Sciences, Vol. 3, Issue 3 · 30 Sep 2007 · 6,800 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Analysis of Accessibility for Public Transportation, A Case Study in Jakarta, Bus Rapid Transit System (Transjakarta), IndonesiaApri Zulmi Hardi, AbdulKader Ali MuradIntegrating public transportation has become a prevalent aspect of urban expansion in developed and developing countries. There are numerous benefits associated with implementing public transportation systems within urban areas, which may serve as a viable solution to address various traffic-related issues. Nevertheless, certain nations that have adopted public transportation encounter accessibility issues affecting the efficiency of such services. The authors … …Journal of Computer Science, Vol. 19, Issue 10 · 31 Aug 2023 · 8,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmpirical Study on Modified Pre-Trained CNN Architectures for Fitzpatrick17k Skin Diseases Prediction ModellingSteven Matthew, Nur Afny Catur Andryani, Rojali et al.Preventing missed diagnosis of skin diseases is critical for enhancing patient outcomes. Technology support empowered by AI based algorithms have been recently developed to minimize the burden. Convolutional Neural Networks (CNNs) are increasingly utilized for image classification tasks including skin's diseases prediction modelling. Its advancement architectures such as pre-trained models, VGG16 andResNet50 provide a strong foundation to up-skill the prediction … …Journal of Computer Science, Vol. 21, Issue 7 · 8 Jul 2025 · 3,934 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of X-Ray Images Using Convolutional Neural Network and Automatic Hyper-Parameter Selection to Detect Tuberculosis (TB)Biswaranjan Debata, Rojalina Priyadarshini, Sudhir Kumar Mohapatra, Tarikwa Tesfa BedaneTuberculosis (TB) is a major public health issue in India, contributing significantly to the global burden of respiratory diseases. This study introduces a Convolutional Neural Network (CNN)--based model for the early and cost-effective detection of TB using chest X-ray images. The proposed model, featuring 13 layers and automated hyperparameter selection, classifies images as infected or not infected. It is evaluated … …Journal of Computer Science, Vol. 21, Issue 2 · 21 Jan 2025 · 6,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractBooming Medical Tourism and Economic IndicesRamalingam ShanmugamGlobalization in this 21st century unifies nations. The globalization impacts positively to promote trade and services among the nations but it could also harm economic growth and technological innovations in nations as their capital are drained to elsewhere. On its own merits, the globalization is a true manifestation of an open economy. The medical profession is not immune to this … …International Journal of Research in Nursing, Vol. 3, Issue 2 · 30 Mar 2013 · 7,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Named Entity Recognition Using Artificial Neural NetworkNaji F. Mohammed, Nazlia OmarProblem statement: Named Entity Recognition (NER) is a task to identify proper names as well as temporal and numeric expressions, in an open-domain text. The NER task can help to improve the performance of various Natural Language Processing (NLP) applications such as Information Extraction (IE), Information Retrieval (IR) and Question Answering (QA) tasks. This study discusses on the Named Entity … …Journal of Computer Science, Vol. 8, Issue 8 · 16 Jul 2012 · 8,676 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuitability of Volatility Models for Forecasting Stock Market Returns: A Study on the Indian National Stock ExchangeTrilochan Tripathy, Luis A. Gil-AlanaProblem statement: Measuring volatility is an important issue for stock market traders. Also, volatility has been used as a proxy for riskiness associated with the asset. This study aims to compare the different volatility models based on how well they model the volatility of the India NSE. Approach: The study has made use of five models which are Historical/Rolling Window … …American Journal of Applied Sciences, Vol. 7, Issue 11 · 8 Nov 2010 · 7,851 accessesView PDFCite