Search Results - (( based applications using algorithm ) OR ( have equation modified algorithm ))*
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Adaptive beamforming algorithm based on Simulated Kalman Filter
Published 2017“…Some of the metaheuristic algorithms have been modified from the original algorithms to improve the algorithms performance in adaptive beamforming application. …”
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Fuzzy algorithm for 3D coastal gemorphology mapping by DInSAR
Published 2007“…Then fuzzy B-spline algorithm for 3D object reconstruction was modified based on the phase equation modified by weighted least square method to ensure 3 D coastal geomorphology reconstruction. …”
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Memoryless modified symmetric rank-one method for large-scale unconstrained optimization
Published 2009“…Computational results, for a test set consisting of 73 unconstrained optimization problems, show that the proposed algorithm is very encouraging. Conclusion/Recommendations: In this study a memoryless QN method developed for solving large-scale unconstrained optimization problems, in which the SR1 update based on the modified QN equation have applied. …”
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Improving pipelined time stepping algorithm for distributed memory multicomputers
Published 2010“…Several time parallelisation algorithms have been suggested for the past two decades. …”
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A study on solution of matrix riccati differential equations using ant colony programming and simulink / Mohd Zahurin Mohamed Kamali
Published 2015“…In this thesis, we implement the modified ant colony programming (ACP) algorithm for solving the matrix Riccati differential equation (MRDE). …”
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One-step block methods for solving ordinary and delay differential equations
Published 2011“…A new modified algorithm from the existing program for solving ODEs was developed. …”
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Structural assessment of damaged and CFRP repaired reinforced concrete beams from experimental modal analysis / Moatasem Mohammed Fayyadh
Published 2012“…These included modified equations for concrete and shear stirrups contribution, contribution of the external CFRP sheets and the contribution of the flexural steel. …”
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9
Power System State Estimation In Large-Scale Networks
Published 2010“…The gain and the Jacobian matrices associated with the basic algorithm require large storage and have to be evaluated at every iteration, resulting in more computation time. …”
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10
Parameter estimation of multicomponent transient signals using deconvolution and ARMA modelling techniques
Published 2003“…Using an autoregressive moving (ARMA) model whose AR parameters are determined by solving high-order Yule-Walker equations (HOYWE) via the singular value decomposition (SVD) algorithm can alleviate this shortcoming. …”
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A Subspace Approach for Extracting Signals Highly Corrupted by Colored Noise
Published 2010“…For validation purposes, the pre- and post-modified algorithms have been assessed in their abilities to extract visual evoked potentials (VEPs) that are corrupted by colored electroencephalogram (EEG) noise. …”
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Citation Index Journal -
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Bayesian survival and hazard estimates for Weibull regression with censored data using modified Jeffreys prior
Published 2013“…Lastly, we use real data to assess the performance of the developed models based on Gauss quadrature and Markov Chain Monte Carlo (MCMC) methods together with the maximum likelihood approach. …”
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Robust Estimation Methods And Outlier Detection In Mediation Models
Published 2010“…This work inspired us to incorporate the n Q instead of the MAD in the proposed algorithm. We refer the above new method of identifying potential outliers in mediation analysis as ModDRGP1 where the MAD is incorporated in the second step of the ModDRGP1 algorithm. …”
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14
Performance Enhancement Of Artificial Bee Colony Optimization Algorithm
Published 2013“…To overcome the problems, this research work has proposed few modified and new ABC variants; Gbest Influenced-Random ABC (GRABC) algorithm systematically exploits two different mutation equations for appropriate exploration and exploitation of search-space, Multiple Gbest-guided ABC (MBABC) algorithm enhances the capability of locating global optimum by exploiting so-far-found multiple best regions of a search-space, Enhanced ABC (EABC) algorithm speeds up exploration for optimal-solutions based on the best so-far-found region of a search-space and Enhanced Probability-Selection ABC (EPS-ABC) algorithm, a modified version of the Probability-Selection ABC algorithm, simultaneously capitalizes on three different mutation equations for determining the global-optimum. …”
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Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphso...
Published 2022“…However, few studies have been undertaken to construct the objective function, or no review papers have been published on the applied methodologies for solving the equations of nonlinear, multi-variable, and complicated PV models based on the datasheet information or actual experimental data. …”
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Dynamic two phase modelling and anfis-based control of ethylene copolymerization in catalytic Fluidized Bed Reactor / Mohammad Reza Abbasi
Published 2019“…The results confirm the disadvantages of the conventional controllers for applications to this nonlinear system. Intelligent and expert system-based controllers have proven to have the capability to control these systems. …”
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Parametric Study Of Instantaneous Heat Transfer Based on Multidimensional Model in Direct-Injection Hydrogen-Fueled Engine
Published 2013“…An arbitrary Lagrangian–Eulerian algorithm was adopted for solving the governing equations. …”
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Selective harmonic elimination (SHE) based 3-phase multilevel voltage source inverter (VSI) for standalone applications
Published 2019“…With the fundamental switching SHE-PWM, twelve non-linear, transcendental equations are generated, and they are optimally solved using the Hybrid Coded Genetic Algorithm to eliminate 11 (n − 1) lower-order harmonics. …”
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Modified Sumudu Transform Analytical Approximate Methods For Solving Boundary Value Problems
Published 2019“…Although these standard methods have been successfully used in solving various types of differential equations, they still suffer from the weakness in choosing the initial guess. …”
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