Search Results - adoption a differential ((equation algorithm) OR (extraction algorithm))

Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training by Lee, Sen Tan, Zainuddin, Zarita, Ong, Pauline

“…In this study, a machine learning approach based on the unsupervised version of wavelet neural networks (WNNs) is used to solve two-dimensional elliptic partial differential equations (PDEs). …”
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A new operational matrices-based spectral method for multi-order fractional problems by Hamid, M., Foong, O.M., Usman, M., Khan, I., Wang, W.

“…The attained outcomes are endorsing that the recommended method is really accurate, reliable and efficient and could be used as suitable tool to attain the solutions for a variety of the non-integer order differential equations arising in applied sciences. …”
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Mould Filling In Electronic Packaging by Chu, Wee Liang

“…Finite Element Method is employed in all the analyses to reduce the governing partial differential equations to algebraic equations. Parametric studies had been carried out to study how the dimension and parameter of the mold tools affects the flow filling’s behavior. …”
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Large-scale kinetic parameters estimation of metabolic model of escherichia coli by Azrag, M. A. K., Tuty Asmawaty, Abdul Kadir, Kabir, M. Nomani, Jaber, Aqeel S.

“…However, in the development of the metabolic model, large-scale kinetic parameters affect the model response if the parameter values are not assigned accurately, which, in turn, propagates the errors in the ordinary differential equations (ODEs) – the mass balance equations associated with the model. …”
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Hybrid block method for direct numerical approximation of second order initial value problems using Taylor Series Expansions by Adeyeye, Oluwaseun, Omar, Zurni

“…To further justify the usability of this hybrid block method, the basic properties which will infer convergence when adopted to solve differential equations are investigated. …”
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Mathematical model for predicting the performance of photovoltaic system with delayed solar irradiance by Siti Nurashiken, Md Sabudin

“…A novel model for solar irradiance in the form of a delay differential equation is introduced by including the factor of delayed solar irradiance, hour angle and the sun's motion. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Agent-Based Model of Virtual Community Cohesion (S/O: 13443) by Yusop, Nor Iadah, Mat Aji, Zahurin, Ab. Aziz, Azizi, Md Dahalin, Zulkhairi

“…Those relationships were then modelled using a set of mathematical equations. The formal specifications (differential equations) equations form the basis of algorithm development, which preceded the development of a virtual community cohesion prediction simulator. …”
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Development of spike train algorithms for physiotherapy assessment using deep learning approaches by Nor Rashid, Fadilla' Atyka

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Mathematical model for predicting the performance of photovoltaic system with delayed solar irradiance by Siti Nurashiken, Md Sabudin, Norazaliza, Mohd Jamil

“…A novel model for solar irradiance in the form of a delay differential equation is introduced by including the factor of delayed solar irradiance, hour angle and the sun's motion. …”
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STUDIES ON THE NONLINEAR INTERACTIONS ASSOCIATED WITH MOORED SEMI SUBMERSIBLE OFFSHORE PLATFORMS by NOUR ELFADUL ABBAS, YASSIR MOHAMMEDNOUR ELFADUL ABBAS

“…The dynamic equilibrium conditions were satisfied through a set of coupled nonlinear differential equations for the six DOF motions. …”
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Prediction of Alzheimer disease using improved MMSE ensemble regressor based on magnetic resonance images by Farzan, Ali

“…Additionally, they must differ significantly according to the cognitive scores. A minimal set of feature who passed the above criteria and can differentiate all of cognitive score pairs is selected by using a genetic search algorithm. …”
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