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1
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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2
Development Of Finite Element Codes For Shear Wall Analysis
Published 2008“…Results in terms of displacements and stresses are compared with those of commercial packages such as SAP-2000 and STAAD-PRO. It was observed that the contour of stress distribution, calculated by STAAD-PRO, SAP 2000 and the present study show that FE code using the present MOPT element is comparable in predicting stress distribution in the shear wall, but the MOPT element display more precise stress at the connecting beams. …”
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