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Variable order variable stepsize algorithm for solving nonlinear Duffing oscillator
Published 2024journal::journal article -
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Variable order variable stepsize algorithm for solving nonlinear Duffing oscillator
Published 2017“…By selecting the appropriate restrictions, the VOS algorithm provides a cost efficient computational code without affecting its accuracy. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Variable order variable stepsize algorithm for solving nonlinear Duffing oscillator
Published 2024“…By selecting the appropriate restrictions, the VOS algorithm provides a cost efficient computational code without affecting its accuracy. …”
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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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A new estimation of nonlinear contact forces of railway vehicle
Published 2021“…However, it is hard to find the status of this adhesion force due to its complexity, highly non-linear nature, and also affected with an unpredictable operation environment. …”
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Optimization of Turning Parameters to Minimize Production Cost using Genetic Algorithm
Published 2009“…The parameter setting will affects a few independent variables such as surface roughness, cutting force, machining time, machining cost and so on. …”
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Machine learning model to predict the contact of angle using mineralogy, TOC and process parameters in shale
Published 2021“…Wettability is the capability of a liquid to remain in contact with a solid surface affected by the balance of both intermolecular force of adhesive force (liquid to surface) and cohesive force (liquid-liquid). …”
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Simulation of steady mixed convection in a lid-driven cavity filled with newtonian fluid by finite volume method
Published 2019“…The presence of external forces would affect the local heat transfer and fluid flow behaviours significantly.…”
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Unsteady magnetoconvective flow of bionanofluid with zero mass flux boundary condition
Published 2017“…It is found that the controlling parameters strongly affect the fluid flow and heat transfer characteristics. …”
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The relationships between brand attributes and word of mouth on brand identity and brand image
Published 2017“…The PLS path modelling reported significant results of the major hypotheses; brand sustainability was the only variable not significantly related to brand image. …”
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