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Research ArticleOpen accessIn the abstractANN Based Prediction of Effect of Reinforcements on Abrasive Wear Loss and Hardness in a Hybrid MMCP. Sathyabalan, V. Selladurai, P. SakthivelProblem statement: The reinforcements added to an alloy lead to variation in properties. The content and size of the reinforcement influences the properties of composites. Very little research has been carried out in hybrid composites. Work on hybrid LM6 aluminium alloy metal matrix composites (MMC) with flyash and SiC has been initiated here. The effect of the four parameters, size … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 7,558 accessesView PDFCite
Research ArticleOpen accessIn the abstractMass Structure Deformation Monitoring using Low Cost Differential Global Positioning System DeviceRamin S. Azar, Helmi Z.M. ShafriIn this study, a technique for monitoring bridge deformation with the simplest GPS device available was demonstrated. The accuracy of these observations was evaluated and the best approach for this purpose was suggested. The device used was the low cost GS20 Leica single frequency GPS, which is a basic GPS receiver for this study. This study was done during March, … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 8,804 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Green House Gases (GHG) Emissions from Oil Production Facilities at Northern Kuwait Oilfields: Simulated ResultsKhaireyah Kh. AL-Hamad, V. Nassehi, A.R. KhanAir pollution and its effects on the ecosystem has been a source of concern for many environmental pollution organizations in the world. In particular climatologists who are not directly involved in petroleum industry sometimes express concerns about the environmental impacts of gaseous emissions from flaring at various despised points. For environmental and resource conservation reasons, flaring should always be minimized … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 6,933 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing a Simulation Tool to Model the Ground Level Concentrations of Green House Gases Emitted by Flaring in Petroleum Production in Kuwait OilfieldsKhaireyah Kh. AL-Hamad, V. Nassehi, A.R. KhanAir pollution and its effects on the ecosystem has been a source of concern for many environmental pollution organizations in the world. In particular climatologists who are not directly involved in petroleum industry sometimes express concerns about the environmental impacts of gas emissions from flaring at well heads. For environmental and resource conservation reasons, flaring should always be minimized as … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 6,670 accessesView PDFCite
Research ArticleOpen accessIn the abstractVulnerability Assessment of Power System Using Radial Basis Function Neural Network and a New Feature Extraction MethodAhmed M.A. Haidar, Azah Mohamed, Aini HussainVulnerability assessment in power systems is important so as to determine how vulnerable a power system in case of any unforeseen catastrophic events. This paper presents the application of Radial Basis Function Neural Network (RBFNN) for vulnerability assessment of power system incorporating a new proposed feature extraction method named as the Neural Network Weight Extraction (NNWE) for dimensionality reduction of … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,155 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 · 7,156 accessesView PDFCite
Research ArticleOpen accessIn the abstractA BI-RADS Based Expert Systems for the Diagnoses of Breast DiseasesUmi Kalthum Ngah, Shalihatun Azlin Aziz, Mohd. Ezane Aziz et al.We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system software consists of a mammographic (MAMMEX) and breast ultrasound (SOUNDEX) medical expert systems which may be used to deduce cases according to the Breast Imaging Recording … …American Journal of Applied Sciences, Vol. 4, Issue 11 · 30 Nov 2007 · 7,434 accessesView PDFCite
Research ArticleOpen accessIn the abstractOpen ended-coaxial Cable Measurements of Saturated Sandy SoilsAlberto GodioThe application of electromagnetic methods in the radar and micro-wave frequency band allows the fluid content of soils to be estimated; the heuristic or physically-based models permit to relate the observed electrical permittivity of the soils with the porosity and fluid saturation. The role of the effect of the free water and bound water in the overall electromagnetic behaviour of … …American Journal of Environmental Sciences, Vol. 3, Issue 3 · 30 Sep 2007 · 6,805 accessesView PDFCite
Research ArticleOpen accessIn the abstractQualitative Ferromagnetic Hysteresis ModelingM. Mordjaoui, M. Chabane, B. Boudjema, R. DairaIn determining the electromagnetic properties of magnetic materials, hysteresis modeling is of high importance. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. A new qualitative hysteresis model for ferromagnetic core presented, based on the function approximation capabilities of adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS model combined the neural … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 7,080 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDevelopment of Customer Predictive Model for Investment Using Ensemble Learning TechniqueThongchai Kaewkiriya, Kittipol WisaengMany new investors that want to purchase a fund might be disappointed with the return-on-investment value. This problem occurs because they do not know important factors that could affect the market value. Plus, some assets might not be suitable for the investor's investment style. To reduce the mentioned problems, many asset management companies research the systems that could find a … …Journal of Computer Science, Vol. 19, Issue 6 · 25 May 2023 · 5,477 accessesView PDFCite