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94 articles for “Pattern Recognition”
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Research ArticleOpen accessIn the keywordsFeatures Extraction Based on Linear Regression TechniqueKhalid W. MagldProblem statement: The matching problem of complex objects is one of the most difficult task in the pattern recognition field. These problems are made difficult by seemingly infinite varieties of shapes and classes which are used. The difficulties are related to absolute shape measurement, given the impossibility of directly mapping shapes, as such, into a feature space. Approach: In this … …Journal of Computer Science, Vol. 8, Issue 5 · 25 Feb 2012 · 7,050 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproved Application of Paraconsistent Artificial Neural Networks in Diagnosis of Alzheimer's DiseaseHelder F.S. Lopes, Jair M. Abe, Paulo A.M. Kanda et al.Problem statement: The visual analysis of Electroencephalogram (EEG) activity has shown useful as a complementary tool in Alzheimer Disease (AD diagnosis) when the diagnosis remains uncertain, in addition to be used in some clinical protocols. However, this analysis is subject to the inherent equipment imprecision, biological artifact, electrical records, and subjective physician interpretation of the visual analysis variation. The Artificial … …Neuroscience International, Vol. 2, Issue 1 · 6 Oct 2011 · 12,061 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMultilevel Classifier in Recognition of Handwritten Arabic CharactersRawan Ismail Zaghloul, Enas Faisal AlRawashdeh, Dojanah Mohammad Kadri BaderProblem statement: Arabic offline handwriting recognition is considered one of the most challenging topics. This is probably caused by the fact that Arabic recognition system faced many problems during the development stage. It faces the usual problems of character recognition in general, in addition to the problems that are specific to Arabic language only. The aim of this study was … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,005 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffect of Hidden Layer Neurons on the Classification of Optical Character Recognition Typed Arabic NumeralsNidal F. Shilbayeh, Mahmoud Z. IskandaraniProblem statement: The effect of varying the number of nodes in the hidden layer and number of iterations are important factors in the recognition rate. In this paper, a novel and effective criterion based on Cross Pruning (CP) algorithm is proposed to optimize number of hidden neurons and number of iterations in Multi Layer Perceptron (MLP) neural based recognition system. … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 7,556 accessesView PDFCite
Research ArticleOpen accessIn the keywordsToll-Like Receptor (TLR) 2 and TLR4 Gene Expression in Canine HeartA. Linde, F. Blecha, T. MelgarejoToll-like receptors (TLRs) are archetypal pattern recognition receptors of immediate importance for an efficacious innate immune response. TLRs exhibit marked differential tissue activity and their levels within a discrete cell type can be highly dynamic. Of 13 known mammalian paralogues, three TLRs have been identified in the dog. Although cardiac TLR expression has been reported in other species, this study … …American Journal of Animal and Veterinary Sciences, Vol. 2, Issue 1 · 31 Mar 2007 · 6,921 accessesView PDFCite
Research ArticleOpen accessIn the keywordsConvolution Neural Networks of Dynamically Sized Filters with Modified Stochastic Gradient Descent Optimizer for Sound ClassificationManu Pratap Singh, Pratibha RashmiDeep Neural Networks (DNNs), specifically Convolution Neural Networks (CNNs) are found well suited to address the problem of sound classification due to their ability to capture the pattern of time and frequency domain. Mostly the convolutional neural networks are trained and tested with time-frequency patches of sound samples in the form of 2D pattern vectors. Generally, existing pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 1 · 13 Dec 2023 · 5,781 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCascade-Based Non-Linear Feedforward Neural Networks for Bi-Directional MemoryThipendra Pal Singh, Tanupriya Choudhury, Rohini AIn today's world, efficient computation is the key to success in many fields. Pattern association plays an influential role in many areas of life, such as learning and memory. In complex dynamics, bidirectional associative memory has been effectively demonstrated by neural networks. However, these neural networks face challenges in terms of performance, such as computational time. A random bipolar input … …Journal of Computer Science, Vol. 19, Issue 4 · 28 Feb 2023 · 5,640 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Adaptive Thresholding Algorithm-Based Optical Character Recognition System for Information Extraction in Complex ImagesDaniel Akinbade, Adewale Opeoluwa Ogunde, Mba Obasi Odim, Bosede Oyenike OguntundeExtracting texts from images with complex backgrounds is a major challenge today. Many existing Optical Character Recognition (OCR) systems could not handle this problem. As reported in the literature, some existing methods that can handle the problem still encounter major difficulties with extracting texts from images with sharp varying contours, touching word and skewed words from scanned documents and images … …Journal of Computer Science, Vol. 16, Issue 6 · 14 Jun 2020 · 8,470 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFall Detection Using the Histogram of Oriented Gradients and Decision-Based FusionMohamed Maher Ben Ismail, Arwa AlGabas, Ouiem BchirAs the number of fall incidents among elderly people and patients are continuously growing, researches boosted their researches to propose efficient automatic fall detection systems. In particular, they formulated the fall detection problem as a supervised learning task where some visual features are extracted from the video frames and used to automatically identify the position of a human as “Fall” … …Journal of Computer Science, Vol. 16, Issue 2 · 26 Feb 2020 · 7,500 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArabic Online Event-Based System for Monitoring and Extracting Infectious Disease-Related InformationMeshrif AlruilyWith the revolution of the internet, online data play a significant role in identifying disease outbreaks. This has led researchers, governments and organizations to pay close attention to such data in order to employ and exploit them in developing event-based systems. This research studies the infectious disease outbreaks domain in the Arabic language. In this paper, the Arabic Surveillance Infectious … …Journal of Computer Science, Vol. 15, Issue 1 · 22 Jan 2019 · 7,420 accessesView PDFCite