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164 results for “retrieval”
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Research ArticleOpen accessEvery word in the titleEFFICIENT RANKED AND SECURE FILE RETRIEVAL IN CLOUD COMPUTINGJ. Jospin Jeya, E. KannanCloud computing facilitates extremely scalable services that can be consumed over internet. An important aspect of the cloud services is that user data are stored remotely in unknown machines in which users do not posses or manage. Since the data’s are stored remotely, we have to keep in mind that sensitive cloud data have to be encrypted before they are … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 6,854 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCOMENTE+: A TOOL FOR IMPROVING SOURCE CODE DOCUMENTATION USING INFORMATION RETRIEVALJulio Cezar Zanoni, Milton Pires Ramos, Cesar Augusto Tacla et al.Document source code is seen as a boring time consuming task by several developers. However, a well-documented source code, allow developers to have a better visibility into what was and is being developed, helping, for example, the reuse of the code. This study presents a semi-automatic method for documentation of source code from the existing artifacts in a software project … …Journal of Computer Science, Vol. 10, Issue 5 · 4 Jan 2014 · 7,446 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSOFT COMPUTING BASED MEDICAL IMAGE RETRIEVAL USING SHAPE AND TEXTURE FEATURESM. Mary Helta Daisy, S. Tamil SelviImage retrieval is a challenging and important research applications like digital libraries and medical image databases. Content-based image retrieval is useful in retrieving images from database based on the feature vector generated with the help of the image features. In this study, we present image retrieval based on the genetic algorithm. The shape feature and morphological based texture features are … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 24 Dec 2013 · 6,579 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA NEW CONTENT BASED IMAGE RETRIEVAL SYSTEM USING GMM AND RELEVANCE FEEDBACKN. Shanmugapriya, R. NallusamyContent-Based Image Retrieval (CBIR) is also known as Query By Image Content (QBIC) is the application of computer vision techniques and it gives solution to the image retrieval problem such as searching digital images in large databases. The need to have a versatile and general purpose Content Based Image Retrieval (CBIR) system for a very large image database has attracted … …Journal of Computer Science, Vol. 10, Issue 2 · 20 Nov 2013 · 6,806 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA CONTEXT-BASED TECHNIQUE USING TAG-TREE FOR AN EFFECTIVE RETRIEVAL FROM A DIGITAL LITERATURE COLLECTIONMuthuraman Thangaraj, Vengatasubramanian GayathriThe increasing growth of information in online digital libraries causes an increasing need to develop techniques to retrieve. In the digital library, findability-finding the user required information is a hectic task than those of usability. The major issues in findability are (a) topic diffusion: results of a traditional keyword based search, often leads to multiple topic areas, some of which … …Journal of Computer Science, Vol. 9, Issue 11 · 5 Oct 2013 · 6,740 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORKYogapriya Jaganathan, Ila VennilaFeature dimensionality reduction problem is a major issue in Content Based Medical Image Retrieval (CBMIR) for the effective management of medical images with the support of visual features for the purpose of diagnosis and educational research field. The proposed CBMIR is used a unified approach based on extraction of visual features, optimized feature selection, classification of optimized features and similarity … …Journal of Computer Science, Vol. 9, Issue 11 · 24 Sep 2013 · 6,982 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn integrated Framework Based on Texture Features, Cuckoo Search and Relevance Vector Machine for Medical Image Retrieval SystemYogapriya Jaganathan, Ila VennilaAs medical images are widely used in healthcare applications, Content Based Medical Image Retrieval (CBMIR) system is needed for physicians to convey effective decisions to patients and for medical research students to learn imaging characteristics for their extensive research based on visual features. However the performance of the retrieval is restricted due to high feature dimensionality of visual features. To … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 24 Sep 2013 · 6,878 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Approach Based Medical Image Retrieval System Using Feature Optimized Classification Similarity FrameworkYogapriya Jaganathan, Ila VennilaFor the past few years, massive upgradation is obtained in the pasture of Content Based Medical Image Retrieval (CBMIR) for effective utilization of medical images based on visual feature analysis for the purpose of diagnosis and educational research. The existing medical image retrieval systems are still not optimal to solve the feature dimensionality reduction problem which increases the computational complexity … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 6 Jun 2013 · 7,023 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Framework for MRI Image Retrieval Using Curvelet Transform and Euclidean DistanceRajakumar, MuttanContent Based Image Retrieval (CBIR) system supports users to retrieve relevant medical images based on their features. Current content based image retrieval systems are incapable of providing exact results to the users. To address this problem a consistent feature extraction method is required for content based medical image retrieval system to extract similar features from the images. In this study … …Journal of Computer Science, Vol. 9, Issue 3 · 12 Apr 2013 · 6,520 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficacious Geospatial Information Retrieval Using Density Probabilistic Document Correlation ApproachR. Uma, MuneeswaranInformation Retrieval (IR) is a profound technique to find information that addresses the need of query. Processing of normal text is easier and information can be retrieved efficiently. There are plenty of algorithms in hand to carry out the normal text retrieval. Whereas retrieving geospatial information is very complex and requires additional operations to be performed. Since geospatial data contain … …Journal of Computer Science, Vol. 9, Issue 1 · 16 Feb 2013 · 7,011 accessesView PDFCite