Search Results - (( developing convective efficient algorithm ) OR ( java optimization learning algorithm ))
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Feature subset selection and classifier ensemble learning are familiar techniques with high ability to optimize above problems. …”
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2
Evaluate fin performance of a space radiator to remove heat generated for outer space application
Published 2010“…Results show that the total heat loss to ambient strongly effected by convection and radiation. In the absence of convection, the efficiency is decrease with the increasing of radiation parameter. …”
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Undergraduates Project Papers -
3
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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4
An efficient and accurate numerical simulation method for the paint curing process in auto industries
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Working Paper -
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Fluid-solid conjugate heat transfer modelling using weakly compressible smoothed particle hydrodynamics
Published 2019“…From the current study, we have found that the particle shifting algorithm is efficient to address the tensile instability problem encountered when simulating flow at high Reynolds number. …”
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Article -
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Modelling and simulation of drying process for ceramic membrane fabrication
Published 2015“…The application of the model at various case studies involves a convective and enhanced intermittent drying mode which demonstrates the robustness and trustworthiness in predicting and optimising the drying process.…”
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Thesis -
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