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234 results for “Model Training”
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Research ArticleOpen accessIn the abstractPredicting the Severity of Breast Masses with Ensemble of Bayesian ClassifiersAlaa M. ElsayadProblem statement: This study evaluated two different Bayesian classifiers; tree augmented Naive Bayes and Markov blanket estimation networks in order to build an ensemble model for prediction the severity of breast masses. The objective of the proposed algorithm was to help physicians in their decisions to perform a breast biopsy on a suspicious lesion seen in a mammogram image or … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Enhancement of Underwater Target Tracking by Fusing Data of Array of Global Positioning System SonobuoysAhmed El-Shafie, Abdallah Osman, Aboelmagd Noureldin, Aini HussainProblem statement: An accurate knowledge of geographic positions of sonobuoys is critical for the conduct of antisubmarine warfare operations and detected target localization. Deployed from an airborne platform or a surface vessel, arrays of sonobuoys could be used to efficiently track and localize submarines. Lastly, some sonobuoys were being equipped with GPS for improving system accuracy and potentially allowing networked … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of the Daily Mean PM10 Concentrations Using Linear ModelsJ. C.M. Pires, F. G. Martins, S. I.V. Sousa et al.The performance of five linear models to predict the daily mean PM10 concentrations was compared. The linear models proposed were: (i) multiple linear regression; (ii) principal component regression; (iii) independent component regression; (iv) quantile regression; and (v) partial least squares regression. The study was based on data from an urban site in Oporto Metropolitan Area and the analysed period was … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,136 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Regularization in a Neural Network Model to Estimate Lines of Code Using Function PointsK. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala PuriIt is a well known fact that at the beginning of any project, the software industry needs to know, how much will it cost to develop and what would be the time required ? . This paper examines the potential of using a neural network model for estimating the lines of code, once the functional requirements are known. Using the … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 30,196 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Look to Adaptive Temporal Radial Basis Function Applied in Speech RecognitionMesbahi Larbi, Benyettou AbdelkaderThis study presents new contribution towards the Adaptive Temporal Radial Basis Function (ATRBF) applied to Continuous speech recognition, in particular the recognition of phonemes like Timit Corpus. ATRBF combines features from Time Delay Neural Network (TDNN) and the advantages of Radial Basis Function (RBF). The capacity to detect the acoustic features and their independent temporal report of the temporal localisation … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Dec 2005 · 7,688 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Proposed Optical Music Mark Recognition SystemIsmael JannoudThe optical music symbol recognition system still has many challenges. Most of issues focused on the recognition of the individual marks in the input concert documents. In this study a new and efficient model for optical music recognition (OMR) was proposed. The music marks was recognized and played by the computer OMR system automatically. A stored file of music documents … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 4,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractManpower Consideration to Reduce Development Time for New Model in Automotive IndustryN. M.Z.N. Mohamed, H. Y. Sastra, S. M. Sapuan et al.A study of manpower consideration to reduce development time for new model in automotive industry is presented in this study. The approach taken are by studying the existing practice in car development and suggesting various ways for manpower improvement such as through early involvement and input from manufacturing personnel, the proper job scope structure, proper training to the new staffs … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,980 accessesView PDFCite
Research ArticleOpen accessIn the abstractThermal Face Authentication with Convolutional Neural NetworkMohamed Sayed, Faris BakerMatching thermal face images as a method of biometric authentication has gained increasing interest because of its advantage of tracking a target object at night and in total darkness. Therefore, for security purposes, it has become highly favourable and has extensive applications, for instance, in video surveillance at night. The aim of this study is to present a simple and … …Journal of Computer Science, Vol. 14, Issue 12 · 10 Dec 2018 · 7,860 accessesView PDFCite
Research ArticleOpen accessIn the abstractIsolated Arabic Hand Written Letters Recognition Based on Contour Matching and Neural NetworkBajes Zeyad Aljunaeidia, Mutasem Shabib Alkhasawneh, Mohammad Ali BaniYounesComplexity of Arabic writing language makes its handwritten recognition very complex in terms of computer algorithms comparing with other languages such as English and French. The Arabic handwritten recognition has high importance in modern applications. The contour analysis of word image can extract special contour features that discriminate one character from another by the mean of vector features. This paper … …Journal of Computer Science, Vol. 14, Issue 11 · 23 Nov 2018 · 7,419 accessesView PDFCite
Review ArticleOpen accessIn the abstractBiomechanically Inspired Machines, Driven by Muscle Like Acting NiTi AlloysAntonio Apicella, Raffaella Aversa, Florian Ion Tiberiu PetrescuThe Shape of the Memory Alloy (SMA) is a very promising class of metallic materials with interesting non-linear properties such as Pseudo-Elasticity (PE), memory (MEM) and damping capacity due to high mechanical hysteresis and internal friction. Research shows a bioinventory approach to Shape Memory Alloy (SMA) design, a class of intelligent materials capable of reacting to a pulse (thermal for … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 23 May 2018 · 8,288 accessesView PDFCite