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Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography
Published 2020“…The conclusions in this paper can be used for practical industrial processes, regarding the adaptive selection of relaxation factor and the number of iterations needed.…”
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Active force control with iterative learning control algorithm for a vehicle suspension
Published 2013“…ILC algorithm is implemented into AFC-based control scheme to reduce its complexity and hence faster response, by replacing the use of artificial intelligence (Al) method as proposed by previous researcher. …”
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Revolutionizing crowd safety: A breakthrough hybrid whale-bat chaotic algorithm (WOABCM) for optimized evacuation simulations
Published 2024“…This groundbreaking approach to crowd evacuation simulation demonstrates how chaos theory-inspired algorithms can be used to solve practical problems.…”
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A reliable algorithm of fourth–order boundary value problems using modified variational iteration method
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Active Suspension System for Passenger Vehicle using Active Force Control with Iterative Learning Algorithm
Published 2014“…The paper describes the practical implementation of a new hybrid control method to a vehicle suspension system using Active Force Control (AFC) with Iterative Learning (IL) and proportional-integralderivative (PID) control strategy. …”
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Image Fusion for Travel Time Tomography Inversion
Published 2015“…Therefore, the ill-conditioned linear equations were changed into iterative normal system through two times of treatment and using images with different forward algorithms for image fusion, it reduced the influence effect of measurement error on imaging. …”
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A study on unsteady flow of gas through a porous medium
Published 2008“…The suggested algorithm is quite efficient and is practically well suited for use in such problems. …”
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Computer-generated fractals with medical application in trabecular bone structure / Hizmawati Madzin
Published 2006“…There are two main aims of this research, one of which is to develop a prototype known as Fractal Generation System (FGS) whereby each type of fractal is generated by practical implementations of the theories with some adaptation in the following algorithms: IFS Iteration, Formula Iteration and Generator Iteration. …”
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A study on the VLSI partitions: the implementation of Fiduccia-Mattheyses algorithm / Burhanuddin Omar
Published 1997“…The program is being develop using this algorithm. The evaluation and comparison also been carried out between this method and Kernighan-Lin method.…”
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Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak
Published 2025“…A constructive algorithm was developed to generate an initial feasible solution, which was subsequently refined using two primary approaches to evaluate their efficiency: Iterative Threshold Pipe Variable Neighborhood Descent (IT-PVND), and a modified Whale Optimization Algorithm (WOA). …”
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Modelling and estimation of vehicle tracking using and improved particle filter
Published 2013“…With the improvement of the particle placement, the number of particles used in the resampling stage can be reduced and hence decrease the iteration of the resampling process. …”
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Application of Krylov Subspace methods for solving Continuous Power Flow problem in voltage stability analysis of power system
Published 2010“…Furthermore, the real data with 293 buses and 595 lines is used as a practical system for verification of the new algorithms The results show that these new algorithms are able to eliminate the convergence problem faced by the existing CPF algorithm. …”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…The output is measured from the model and used to adapt the adjustable parameters. During the iterative procedure, the differences between the real plant and the model used are captured by the adjustable parameters. …”
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Hardware-in-the-Loop Simulation for Active Force Control with Iterative Learning Applied to an Active Vehicle Suspension System
Published 2014“…The paper focuses on the practical implementation of a novel control method to an automotive suspension system using active force control (AFC) with iterative learning algorithm (ILA) and proportional-integral-derivative (PID) control strategy. …”
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Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). Particularly, swmcan addresses multi-view data noise using the l1-norm and optimizes the objective function through a novel iterative reweighted method. …”
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Application of Newton-Gauss-Seidel method for solving multi-objective constrained optimization problems
Published 2024“…The second stage is to use the NewtonGauss-Seidel (NGS) iterative method to solve the transformed constrained optimization problem. …”
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Dung Beetle Optimization algorithm for predicting damage to 2D truss structures
Published 2025“…A number of scenarios, from simple to complex, are proposed to assess the performance of this algorithm. The convergence results, which are based on MATLAB software, required only 25~30 iterations and were then displayed to validate the potential practical use of DBO. …”
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Comparison of performance and computational complexity of nonlinear active noise control algorithms
Published 2011“…The simulation results also suggest that it is more advantageous to use FXLMS for practical implementation of NANC.…”
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