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Research ArticleOpen accessIn the abstractFish Recognition Based on Robust Features Extraction from Size and Shape Measurements Using Neural NetworkMutasem Khalil Alsmadi, Khairuddin Bin Omar, Shahrul Azman Noah, Ibrahim AlmarashdehProblem statement: Image recognition is a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical … …Journal of Computer Science, Vol. 6, Issue 10 · 5 Aug 2010 · 9,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Tool to Develop Arabic Handwriting Recognition System Using Genetic ApproachHanan Aljuaid, Zulkifli Muhammad, Muhammad SarfrazProblem statement: Significant movement has been made in handwriting recognition technology over the last few years. Up until now, Arabic handwriting recognition systems have been limited to small and medium vocabulary applications, since most of them often rely on a database during the recognition process. The facility of dealing with large database, however, opens up many more applications. Approach: This … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 7,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Online Website for Tutoring and E-Examination of Economic CourseIbrahiem M.M. EL Emary, Jihad A.A. Abu Al SondosThis study aimed to present a novel software tool can be used for online examination and tutorial application of the syllabus of economic course. Also, among the main interests of this paper is to produce a software through it we make sure that students have studied all the concepts of economics. So, the proposed software is structured from two major … …American Journal of Applied Sciences, Vol. 3, Issue 2 · 28 Feb 2006 · 6,808 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Neutral Network in Predicting Corporate FailureHuong G. NguyenThis study investigates the predictive power of three neutral network models: Multi-layer neural network, probabilistic neural network, and logistic regression model in predicting corporate failure. Basing on the database provided by The Corporate Scorecard Group (CSG), we combine financial ratios which deem to be significant predictors of corporate bankruptcy in many previous empirical studies to build our predictive models and … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,327 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComputational Analysis of Genre Effects on Movie Ratings Using MLP AlgorithmsSubir Gupta, Upasana Adhikari, Shefali Varshney, Tanupriya ChoudhuryPredictive analytics are what the entertainment industry depends on so much in prognosticating movie ratings, which is why they inform filmmakers, distributors and stream platforms strategic moves. Traditional prediction models most times only succeed in missing out on the intricate dynamics that are genre-specific to movie ratings thereby leading to inaccuracies and suboptimal decision making. The paper proposes this research … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 5,545 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 · 1,318 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordWeighted Kernel Density Estimation of the Prepulse Inhibition TestHongbo Zhou, Qiang Cheng, Hong-Ju Yang, Haiyun XuProblem statement: The goal of this study was to devise a more reliable and sensitive method for analysis of experimental data of the Prepulse Inhibition (PPI), the reduction in startle reaction towards a startle-eliciting “pulse” stimulus when it is shortly preceded by a sub-threshold “prepulse” stimulus. Approach: Different from the conventional simple averaging-based method, we proposed a probabilistic approach to … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,225 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSpiral Binomial and Related Distributions for Obsession to AbortionRamalingam ShanmugamRepeated abortion is considered an important health concern by the pregnant women and the governments. Educating the public about the impact of abortion becomes the government’s responsibility. For this purpose, the government agencies turn to health and medical researchers for opinion about the impact of abortion. The public health researchers turn to data for clues and seek pertinent data information … …International Journal of Research in Nursing, Vol. 3, Issue 2 · 13 Aug 2012 · 6,723 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAssessment of Breeding Qualities of Kazakh White-Headed Bulls by Testing Their ProductivityAruzhan Nugmanova, Aliya Akhmetaliyeva, Yedige Nassambayev et al.The purpose of the study was to quantify the breeding qualities of Kazakh White-Headed bulls by assessing their productivity metrics. The primary objectives were to analyze live weight dynamics, daily growth rates, feed conversion efficiency, and morphological meat quality and to employ "A" complex indices for evaluating the breeding potential. The study observed bulls aged 8-15 months at the Khafiza … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 26 Jul 2024 · 5,411 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf RecognitionAvuya Deyi, Arnaud Nguembang Fadja, Eleonora Deborah Goosen et al.Since several active pharmaceutical ingredients are sourced from medicinal plants, identifying and classifying these plants are generally a valuable and essential task during the drug manufacturing process. For many years, identifying and classifying those plants have been exclusively done by experts in the domain, such as botanists and herbarium curators. Recently, powerful computer vision technologies, using deep learning or deep … …Journal of Computer Science, Vol. 19, Issue 11 · 17 Oct 2023 · 6,231 accessesView PDFCite