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200 results for “Artificial Neural Network”
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Research ArticleOpen accessIn the abstractSPECTRAL DOMAIN FEATURES FOR OVARIAN CANCER DATA ANALYSISAhmed Farag Seddik, Riham Amin Hassan, Mahmoud A. FakhreldeinThe early detection of cancer is crucial for successful treatment. Medical researchers have investigated a number of early-diagnosis techniques. Recently, they have discovered that some cancers affect the concentration of certain molecules in the blood, which allows early diagnosis by analyzing the blood mass spectrum. Researchers have developed several techniques for the analysis of the mass-spectrum curve analysis and used … …Journal of Computer Science, Vol. 9, Issue 8 · 9 Jul 2013 · 6,920 accessesView PDFCite
Research ArticleOpen accessIn the abstractEVENT-DRIVEN BUSINESS INTELLIGENCE APPROACH FOR REAL-TIME INTEGRATION OF TECHNICAL AND FUNDAMENTAL ANALYSIS IN FOREX MARKETMohammed AbuHamad, Masnizah Mohd, Juhana SalimForex market is the most liquid financial market and the largest market in the world. Forex market has been analysed using two isolated approaches, technical analysis and fundamental analysis. Technical analysis attempts to predict the movement of prices by studying the historical data of the market whereas fundamental analysis concerns essentially with the overall state of the economy. Relying on … …Journal of Computer Science, Vol. 9, Issue 4 · 13 May 2013 · 7,305 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Classification Model of Sandals Dhiif’s Product with Back Propagation and Fourier Descriptors MethodWikaria Gazali, Haryono Soeparno, Ngarap Im ManikClassification is a vital process in every industry. While manual classification is inefficient in terms of cost and time, the computerized techniques offer better and faster solution on this matter. Fourier Descriptors is the mathematical formulas to save objects in functions of Fourier series. While back propagation is an Artificial Neural Network (ANN) method to recognize patterns and images through … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 6,375 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Evaluation of Adaptive Filter and Neuro-Fuzzy Filter in Artifacts Removal From Electroencephalogram SignalPaulchamy Balaiah, IlavennilaProblem statement: This study presents an effective method for removing mixed artifacts (EOG-Electro-ocular gram, ECG-Electrocardiogram, EMG-Electromyogram) from the EEG-Electroencephalogram records. The noise sources increases the difficulty in analyzing the EEG and obtaining clinical information. EEG signals are multidimensional, non-stationary (i.e., statistical properties are not invariant in time), time domain biological signals, which are not reproducible. It is supposed to contain … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 15 Aug 2012 · 7,090 accessesView PDFCite
Research ArticleOpen accessIn the abstractStill Image Compression Using Texture and Non Texture Prediction ModelG. Mohanbaabu, P. RenugaProblem statement: Existing lossless image compression schemes attempt to do prediction in an image data using their Local Binary Pattern (LBP) and their spatial neighborhood based techniques. In the previous techniques such as Vector Quantization (VQ) and Gradient Adjusted Prediction (GAP) the texture and non-texture regions are not classified separately. Texture and Non-texture images prophecy has been a key factor … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 11 Feb 2012 · 7,307 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputation of a Single-phase Shell-Type Transformer Windings Forces Caused by Inrush and Short-circuit CurrentsM. B.B. Sharifian, R. Esmaeilzadeh, M. Farrokhifar et al.This research studies the forces on the windings of transformer due to inrush current. These forces are compared with the corresponding forces due to short-circuit of the windings. Two-dimensional finite element computation of a single-phase shell-type transformer is carried out based on the maximum permissible inrush current value where its amplitude is the same as the rated short-circuit current. To … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 7,437 accessesView PDFCite
Research ArticleOpen accessIn the abstractVehicle Detection in Aerial Traffic MonitoringDmitry Sincha, Mikhail Chervonenkis, Pavel SkribtsovThis work describes a cascade detection of vehicles in Unmanned Aerial Vehicle (UAV) images and videos. There are some new approaches used in the detection. In particular, the Region of Interest (ROI) search is not only based on GIS and navigation data, but also employs visual method based on rapid image segmentation and road detection. The work also suggests doing … …American Journal of Applied Sciences, Vol. 13, Issue 1 · 11 Jan 2016 · 7,932 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm for Variable and Samples Selection in Multivariate Calibration ProblemsKelton de Souza Santiago, Anderson Silva Soares, Telma Woerle de Lima et al.One of the main problems of quantitative analytical chemistry is to estimate the concentration of one or more species from the values of certain physicochemical properties of the system of interest. For this it is necessary to construct a calibration model, i.e., to determine the relationship between measured properties and concentrations. The multivariate calibration is one of the most successful … …Journal of Computer Science, Vol. 11, Issue 4 · 8 Jun 2015 · 7,385 accessesView PDFCite
Research ArticleOpen accessIn the abstractDEVELOPMENT OF A FUZZY-SIMULATION MODEL OF SCHEDULING ROBOTIC FLEXIBLE ASSEMBLY CELLSKhalid Abd, Kazem Abhary, Romeo MarianDue to the complexity of scheduling flexible manufacturing systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic, genetic algorithms and neural networks have been successfully applied to the scheduling of advanced manufacturing systems. One such system is Robotic Flexible Assembly Cells (RFACs). Few studies have addressed the problem of scheduling RFACs. … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,796 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameters Estimate of Autoregressive Moving Average and Autoregressive Integrated Moving Average Models and Compare Their Ability for Inflow ForecastingMohammad Valipour, Mohammad Ebrahim Banihabib, Seyyed Mahmood Reza BehbahaniIn this study the ability of Autoregressive Moving Average (ARMA) and Autoregressive Integrated Moving Average (ARIMA) models in forecasting the monthly inflow of Dez dam reservoir located in Teleh Zang station in Dez dam upstream is estimated. ARIMA model has found a widespread application in many practical sciences. In addition, dam reservoir inflow forecasting is done by some methods such … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 30 Aug 2012 · 17,296 accessesView PDFCite