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205 articles for “Test Class”
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Research ArticleOpen accessIn the abstractDeterminants of Outward Foreign Direct Investments from Small Island Developing StatesDensil A. WilliamsProblem statement: Although there is a burgeoning literature on the rise of Multinational Enterprises (MNEs) from developing economies, comparatively less work exists on MNEs from small, developing economies. Given the precipitous rise in the level of outward foreign direct investments from small, economies, it is still not clear in the academic literature and for policy purposes, those factors in the … …American Journal of Economics and Business Administration, Vol. 1, Issue 2 · 30 Jun 2009 · 7,325 accessesView PDFCite
Research ArticleOpen accessIn the abstractResistance to Third-Generation Cephalosporins and Other Antibiotics by Enterobacteriaceae in Western NigeriaA. O. Okesola, O. MakanjuolaProblem statement: The emergence and spread of resistance to third-generation cephalosporins are threatening to create species resistant to all currently available agents. The most common cause of bacterial resistance to beta-lactam antibiotics is the production of beta-lactamases and many of the 2nd and 3rd-generation penicillins and cephalosporins were specifically designed to resist the hydrolytic action of major β-lactamases. However new … …American Journal of Infectious Diseases, Vol. 5, Issue 1 · 31 Mar 2009 · 8,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Approach in Radar Target ClassificationN.K. Ibrahim, R.S.A. Raja Abdullah, M.I. SaripanProblem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR). In this study the target is a ground vehicle which is represented by typical public road transport. The features from raw radar signal … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 9,370 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of MultiScale Hidden Markov Modeling Wavelet Coefficients to fMRI Activation DetectionFangyuan Nan, Yaonan Wang, Xiaoping MaProblem Statement: The problem of detection of functional magnetic resonance images (fMRIs), that is, to decide active and nonactive regions of human brain from fMRIs is studied in this paper. fMRI research is finding and will find more and more applications in diagnosing and treating brain diseases like depression and schizophrenia. At its initial stage fMRI detection are pixel-wise methods, … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,546 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Protein 3D Structure Prediction Accuracy using Dense Regions Areas of Secondary Structures in the Contact MapAmer F. Al-Badarneh, Mohammad A. Khalil, Mo'taz A. Al-HamiProblem Statement: The protein folding problem is a fundamental problem in structural molecular biology. This problem describes how a protein is transformed from its primary sequence (i.e., amino acid sequence) into the three dimensional structure (3D structure) for this sequence that determines the function of the protein. The 3D structure of a protein can be represented using a square symmetrical … …American Journal of Biochemistry and Biotechnology, Vol. 4, Issue 4 · 31 Dec 2008 · 7,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlock Methods based on Newton Interpolations for Solving Special Second Order Ordinary Differential Equations DirectlyYap Lee Ken, Fudziah Ismail, Mohamed Suleiman, Suriah Md. AminThis study focused mainly on the derivation of the 2 and 3-point block methods with constant coefficients for solving special second order ordinary differential equations directly based on Newton-Gregory backward interpolation formula. The performance of the new methods was compared with the conventional 1-point method using a standard set of test problems. Numerical results were presented to illustrate the effectiveness … …Journal of Mathematics and Statistics, Vol. 4, Issue 3 · 30 Sep 2008 · 8,120 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransient Stability Assessment of a Power System Using Probabilistic Neural NetworkNoor Izzri Abdul Wahab, Azah MohamedThis study presents transient stability assessment of electrical power system using Probabilistic Neural Network (PNN) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs. Simulations were carried out on the IEEE 9-bus test system considering three phase faults on the system. The data … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,027 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine Needle Aspiration Cytology Evaluation for Classifying Breast Cancer Using Artificial Neural NetworkNor Ashidi Mat Isa, Esugasini Subramaniam, Mohd Yusoff Mashor, Nor Hayati OthmanThirteen cytology of fine needle aspiration image (i.e. cellularity, background information, cohesiveness, significant stromal component, clump thickness, nuclear membrane, bare nuclei, normal nuclei, mitosis, nucleus stain, uniformity of cell, fragility and number of cells in cluster) are evaluated their possibility to be used as input data for artificial neural network in order to classify the breast precancerous cases into four … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 7,152 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Squamous Cell Carcinoma Based On Color and Textural Features in Microscopic Images of Esophagus TissuesP. S. Hiremath, Y. Humnabad Iranna, Jagadeesh D. PujariThis paper presents a method for feature extraction using color and texture from microscopic images of esophagus tissues obtained from the abnormal regions of human esophagus detected through endoscopy. This method is used for classification of Squamous Cell Carcinoma (SCC) of esophagus, namely, poorly differentiated SCC, moderately differentiated SCC, and well differentiated SCC. Three different color spaces, namely, HSV, YCbCr, … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractProbabilistic Artificial Neural Network For Recognizing the Arabic Hand Written CharactersKhalaf khatatneh, Ibrahiem M.M. El Emary, Basem Al-RifaiThe objective of this study was to present a new technique assists in developing a recognition system for handling the Arabic Hand Written text. The proposed system is called Arabic Hand Written Optical Character Recognition (AHOCR). AHOCR was concerned with recognition of hand written Alphanumeric Arabic characters. In the present work, extracted characters are represented by using geometric moment invariant … …Journal of Computer Science, Vol. 2, Issue 12 · 31 Dec 2006 · 6,911 accessesView PDFCite