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Research ArticleOpen accessIn the keywordsTwigX-Guide: Twig Query Pattern Matching for XML TreesSu-Cheng Haw, Chien-Sing LeeThe growing importance of XML and the lack of efficient solutions for managing and querying XML data have led to the development of hybrid systems. We present a hybrid system, TwigX-Guide; an extension of the well-known DataGuide index and region encoding labeling to support twig query processing. With TwigX-Guide, a complex query can be decomposed into a set of path … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,078 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient Video Compression Framework using Deep Convolutional Neural Networks (DCNN)Kommerla Siva Kumar, P. Bindhu Madhavi, K. JanakiIn the current world, video streaming has grown in popularity and now accounts for a large percentage of internet traffic, making it challenging for service providers to broadcast videos at high rates while utilizing less storage space. To follow inefficient analytical coding design, previous video compression prototypes require non-learning-based designs. As a result, we propose a DCNN technique that integrates … …Journal of Computer Science, Vol. 18, Issue 7 · 13 Jul 2022 · 6,153 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArabic Personal Name Matching: Names Written using Latin AlphabetAttia Nehar, Slimane Bellaouar, Djelloul Ziadi, Khaled Moulay OmarAbstract: In many Arab countries’ public administrations, Arabic personal names are written with Latin alphabet, generally, in various ways by different writers. This has led to many problems when it comes to connecting these administrations. The aim of this study was to propose two new approaches for the pairwise matching of Arabic personal names. The first approach is based on … …Journal of Computer Science, Vol. 17, Issue 9 · 29 Sep 2021 · 7,602 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Multidictionary Based Text CompressionM. Baritha Begum, Y. VenkataramaniThe amount of digital contents grows at a faster speed as a result does the demand for communicate them. On the other hand, the amount of storage and bandwidth increases at a slower rate. Thus powerful and efficient compression methods are required. The repetition of words and phrases cause the reordered text much more compressible than the original text. On … …Journal of Computer Science, Vol. 8, Issue 12 · 8 Nov 2012 · 6,942 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHybrid Algorithm for Lossless Image Compression using Simple Selective Scan order with Bit Plane SlicingS. N. Sivanandam, A. Pasumpon PandianProblem statement: Identifying the new lossless image compression algorithm for high performance applications like medical and satellite imaging; a high quality lossless image is most important when reproduction which leads to classify the data for decision making. Approach: A new lossless hybrid algorithm based on simple selective scan order with Bit Plane Slicing method is presented for lossless Image compression … …Journal of Computer Science, Vol. 8, Issue 8 · 28 Jul 2012 · 7,484 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient Algorithm for Tree Mapping in XML DatabasesYangjun ChenIn this article, we discuss an efficient algorithm for tree mapping problem in XML databases. Given a target tree T and a pattern tree Q, the algorithm can find all the embeddings of Q in T in O(|T||Q|) time while the existing approaches need exponential time in the worst case. …Journal of Computer Science, Vol. 3, Issue 7 · 21 Jul 2007 · 6,567 accessesView PDFCite
Research ArticleOpen accessIn the abstractAuto Weight Dilated Convolutional Ensemble Network for the Severity Analysis of Lung Cancer in CT ImagesL. Sandhya, K. MarimuthuLung cancer is one of the world's leading causes of morbidity and mortality; improving patient outcomes requires an early and precise diagnosis. Lesion and tumor segmentation remains a challenging task in CT images due to their inherent imaging limitations, such as the small size of nodules, heterogeneous textures, blurry boundaries, and adjacent structures, leading to misclassification and difficulty in delineating … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractFedCarepod: Federated Quantum Transfer Learning Approach in Screening Process for Early Detection of Liver AbnormalitiesK MalaThe liver is the most frequently injured intra-abdominal organ that leads to complications. Visual interpretation depends on the expertise, and this justifies the need for automatic accelerated assistive prediction system. Classical and Quantum machine learning approaches are combined to leverage their benefits, and the feasibility of designing a novel system is explored. This approach successfully ends up with health care … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractResistance to Antibacterial Agents in Escherichia coli Isolated from Domestic Cats and Dogs in the Northern Region of the Republic of KazakhstanAnara Yeleussizova, Yuliya Aleshina, Anara Mendybayeva et al.The widespread use of antimicrobial agents for pets in veterinary practice has led to the emergence and spread of drug resistance not only in pathogenic but also in opportunistic bacteria. The study aims to evaluate the profile of resistance to antibacterial agents in Escherichia coli strains isolated from domestic cats and dogs, as well as to look into the determinants … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 3 · 2 Aug 2023 · 5,525 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Arabic Named Entity Recognition with a Modified Transformer EncoderHamid Sadeq Mahdi Alsultani, Ahmed H. AliwyThis article investigates the use of a transformer encoder for Arabic Named Entity Recognition (NER). The classic transformer that was originally proposed for machine translation adopts the absolute sinusoidal position embedding which is aware of distance but unfortunately is not aware of the directionality. However, in the NER task, both distance and orientation are crucial. Therefore, in this study, instead … …Journal of Computer Science, Vol. 19, Issue 5 · 10 Apr 2023 · 5,330 accessesView PDFCite