Research ArticleOpen accessIn the abstractA Genetic Algorithm for the Segmentation of Known Touching ObjectsEdgar Scavino, Dzuraidah Abdul Wahab, Hassan Basri et al.Problem statement: Segmentation is the first and fundamental step in the process of computer vision and object classification. However, complicate or similar colour pattern add complexity to the segmentation of touching objects. The objective of this study was to develop a robust technique for the automatic segmentation and classification of touching plastic bottles, whose features were previously stored in a … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 7,123 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorpus Design for Malay Corpus-based Speech Synthesis SystemTian-Swee Tan, Sh-HussainProblem statement: Speech corpus is one of the major components in corpus-based synthesis. The quality and coverage in speech corpus will affect the quality of synthesis speech sound. Approach: This study proposes a corpus design for Malay corpus-based speech synthesis system. This includes the study of design criteria in corpus-based speech synthesis, Malay corpus based database design and the concatenation … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 8,302 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlack White Color and Gray Pixel Extraction ModelK. Selvam, B. PoornaThis is a design approach of software on image and pattern recognition, while eliminating the color and gray code of an image for comparison. This approach is quite effective for black and white and color images or scenes. Here we select particular part or parts of a given image and we compare with the contents of template-image (biometric) database. This … …Journal of Computer Science, Vol. 3, Issue 12 · 31 Dec 2007 · 6,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractLizard Learning Algorithm for Invariant Pattern RecognitionG. M. Rao, G. R. Babu, G. V. KumariResearches are keen to know astonishing and intricate details of the nature. Each creature has its own admiring abilities and performs their routine task in more efficient manner. The bug navigation system has drawn keen attention among research community to know how they are able to perform their routine task in utmost skillful manner. The lizard is capable of identifying … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,489 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCovering Approximations Approach to Interval Ordered Information SystemsNadia El Mokhtar Gheith, Amgad A. SalamaIt is been proved that the theory of rough set is very beneficial in working with conflict problems induced by the information endearment The original idea of the rough set is not accurate, however, when preference orders of characteristics domains (standard) are to be considered. Seeking the issue of covering approximation relative to a control relation in interval-ordered information systems … …Journal of Computer Science, Vol. 19, Issue 2 · 26 Feb 2023 · 5,602 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOntoJob Query Processor: An Ontology Driven Query Processing Method in Jobology Information SystemRanjna Jain, Neelam DuhanThere are a large numbers of jobsites/job portals that provide information about employment on the internet. These websites facilitate employers to post job lists. Job seekers go through those job posts and apply for the same. But, due to the availability of dozens of job portals, job seekers are unable to concentrate on the efforts to see the best outcomes. … …Journal of Computer Science, Vol. 16, Issue 5 · 11 Jan 2021 · 6,419 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUzNER: A Human-Reviewed Benchmark for Uzbek Named Entity Recognition With Gazetteer-Augmented Transformer ModelsBobur Saidov, Vladimir Barakhnin et al.UzNER-100K is a large-scale human-reviewed benchmark for Uzbek named entity recognition with 100,000 training sentences, 18 fine-grained entity types and 200,083 entity mentions across 114,269 sentences in total. The corpus was constructed through an LLM-assisted, expert-reviewed annotation pipeline that achieved strong reliability on the main audit subset while substantially reducing corpus-construction effort. The benchmark includes a standard test split, a … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,308 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordGraph Representation for Secondary System of Pressurized Water Reactor with Autocatalytic Set ApproachAzmirul Ashaari, Tahir Ahmad, Mustaffa Shamsuddin et al.The pace of nuclear reactor development in increasing and this is caused by the high authoritative ordinance of electricity from the end users. Furthermore, maintaining and controlling nuclear reactor operation are high priorities due to safety reasons. The aim of this paper is to describe the secondary system of Pressurized Water Reactor (PWR) system by using graph. Furthermore, fuzzy graph … …Journal of Mathematics and Statistics, Vol. 11, Issue 4 · 30 Dec 2015 · 7,062 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordSegmentation Methods of Echocardiography Images for Left Ventricle Boundary DetectionSamaneh Mazaheri, Rahmita Wirza, Puteri Suhaiza Sulaiman et al.Due to acoustic interferences and artifacts which are inherent in echocardiography images, automatic segmentation of anatomical structures in cardiac ultrasound images is a real challenge. This paper surveys state-of-the-art researches on echocardiography data segmentation methods, concentrating on methods techniques developed for clinical data. We present a classification of methodologies for echocardiography image segmentation. By choosing ten recent papers which have … …Journal of Computer Science, Vol. 11, Issue 9 · 6 Dec 2015 · 7,054 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordANALYSIS OF BAYESIAN CLASSIFIER ACCURACYFelipe Schneider Costa, Maria Marlene De Souza Pires, Silvia Modesto NassarThe naïve Bayes classifier is considered one of the most effective classification algorithms today, competing with more modern and sophisticated classifiers. Despite being based on unrealistic (naïve) assumption that all variables are independent, given the output class, the classifier provides proper results. However, depending on the scenario utilized (network structure, number of samples or training cases, number of variables), the … …Journal of Computer Science, Vol. 9, Issue 11 · 26 Sep 2013 · 8,375 accessesView PDFCite