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233 articles for “Model Training”

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Research ArticleOpen accessIn the abstractResearches Concerning the using of Moven© Inertial Navigation System in Monitoring the Male Triple Jump EventMihilescu Liliana, Mihai Ilie, Bidiugan RaduProblem statement: This study aims to highlight ways of using Moven© inertial navigation system applied in the monitoring of the male triple jump event technique. Inertial navigation system involves the use of some elements to determine the coordinates and speed of a body by processing information related to its acceleration. Approach: The research results point out that this equipment can … …Journal of Social Sciences, Vol. 7, Issue 3 · 16 Jul 2011 · 7,365 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Subset Selection for Hot Method Prediction using Genetic Algorithm wrapped with Support Vector MachinesSandra Johnson, Valli ShanmugamProblem statement: All compilers have simple profiling-based heuristics to identify and predict program hot methods and also to make optimization decisions. The major challenge in the profile-based optimization is addressing the problem of overhead. The aim of this work is to perform feature subset selection using Genetic Algorithms (GA) to improve and refine the machine learnt static hot method predictive … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing an Adaptative Fuzzy-Logic System to Optimize the Performances and the Reduction of Chattering Phenomenon in the Control of Induction MotorM. M. Krishan, L. Barazane, A. KhwaldehProblem statement: Neural networks and fuzzy inference systems are becoming well-recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance. Also, by combining these two features, more versatile and robust models, called “neuro-fuzzy” architectures have been developed. The mo Approach: Motivation behind the use of neuro-fuzzy approaches was based on … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Mediating Effect of Work-Family Conflict on the Relationship Between Locus of Control and Job SatisfactionNoryati Ngah, Aminah Ahmad, Maznah BabaProblem statement: Based on the literature review, few studies have tested the mediating effect of work-family conflict on the relationship between locus of control and job satisfaction. Approach: This study tested a mediation model consisting of job satisfaction as the dependent variable, locus of control as the independent variable and work-family conflict as the mediator. Data were gathered from 159 … …Journal of Social Sciences, Vol. 5, Issue 4 · 31 Dec 2009 · 7,782 accessesView PDFCite
Research ArticleOpen accessIn the abstractChange Detection Using Neural Network with Improvement Factor in Satellite ImagesM. A. Fkirin, S. M. Badwai, Sayed A. MohamedProblem statement: The aim of this study is to investigate the applicability of using the neural network techniques in change detection of remotely sensed data. Approach: In addition, the tuning parameters of the network, such as encoding the output classes, adding the momentum term and learning rate, are investigated in order to achieve best network performance. Results: Neural network-based change … …American Journal of Environmental Sciences, Vol. 5, Issue 6 · 31 Dec 2009 · 6,648 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeighted Semi-Blind Channel Identification by Cross Relation MethodMohamed Tahar Taba, S. FemmamProblem statement: The bandwidth efficiency of many communication systems could be improved if the transmission channel was estimated blindly without resort to training sequences. GMSK was a spectrum-efficient modulation scheme and it was adopted as the modulation standard of GSM systems. Approach: However, because of its phase modulation, Gaussian filtering and partial response signalling properties, Results: The simulation results showed … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 6,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractElectricity Load Forecasting based on Framelet Neural Network TechniqueMohammed K. AbdLoad forecasting is very essential to the operation of electricity companies. It enhances the energy-efficient and reliable operation of a power system. This study shows Electricity Load Forecasting modeling based on Framelet Neural Network Technique (FNN) for Baghdad City. Framelet technique is implemented to the time series data, decomposing the data into number of Framelet coefficient signals. The decomposed signals … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 8,274 accessesView PDFCite
Research ArticleOpen accessIn the abstractLife Long Learning: Seniors in Second Life ContinuumC. D. Seals, W. Moses, J. Nyagwencha et al.Senior citizens represented the fastest growing demographic worldwide. As indicated in the Year 2000 US Census, there were 35 million people 65 or older in the US and by 2030, it was estimated that there were about 70 million older adults in the US alone. With the older population growing rapidly and being increasingly exposed to computers and technology, it … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,110 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing PLC for Custom-design of a PID/PWM Program to Control a Heater TemperatureMohammad A.K. AliaThis is a practical approach to control a continuous-time process variable (temperature) using a discrete controller (PLC) and a custom-designed software control algorithm and hardware interface, in a closed-loop system. Unlike the conventionally known technique of transforming a digital control action into a proportional analogue one by a D/A converter followed by power amplifier, the control action was formed internally … …American Journal of Applied Sciences, Vol. 4, Issue 5 · 31 May 2007 · 7,662 accessesView PDFCite
HypothesisOpen accessIn the abstractReal-Time Automatic Inspection System for the Classification of PCB Flux DefectsAng Teoh Ong, Aouache Mustapha, Zulkifilie Bin Ibrahim et al.Automatic inspection based on a real-time machine vision system may serve as substitute for the manual human visual inspection of flux defects in Printed Circuit Boards (PCBs), which often cause damage on the board in the form of corrosions that harm the assembly. The concept of automatic inspection contributes to the improvement of the manufacturing quality of PCBs and facilitates … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 25 Aug 2015 · 8,708 accessesView PDFCite