Search Results - (( using ((function path) OR (function a)) algorithm ) OR ( using composition using algorithm ))
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Synthesis of transistor chaining algorithm for CMOS cell layout using euler path / Sukri Hanafiah
Published 1997“…The euler's path it using pseudo input and Heuristic algorithm to find the minimum interlace. …”
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Thesis -
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A-star (A*) algorithm implementation for robotics path planning navigation
Published 2018“…This algorithm also known as the most famous used algorithm in path planning because of its ability to provide a collision-free pathway with a minimum path score. …”
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Undergraduates Project Papers -
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Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm
Published 2023Conference Paper -
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Hybrid path planning for indoor robot with Laplacian Behaviour-based control via four point-explicit group
Published 2014“…Consequently, the gradient of the potential functions would be used by the searching algorithm to generate path from starting to goal location. …”
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Curve Reconstruction By Metaheuristics Algorithms On Cubic Rational Bézier Function
Published 2019“…Curve reconstruction regularly used in reverse engineering. Meanwhile, curve fitting is one of the main compositions of curve reconstruction that is usually represented by mathematical functions, most suitable for representing a set of data points, and may need to meet some constraints. …”
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Thesis -
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Wi-fi fingerprint database construction using Chebyshev wavelet functions
Published 2015“…Next, the collected reference samples are used to construct area specific path-loss prediction function using Chebyshev wavelets. …”
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Conference or Workshop Item -
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False path identification algorithm framework for nonseparable controller-data path circuits
Published 2017“…This paper proposes an algorithm framework to deal with these false paths through identification for DFT test. …”
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Backpropagation neural network training algorithm analysis / Shahrul Azmi Rosli
Published 2010“…There is several training algorithm that can be used to compute a neural network problem. …”
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Thesis -
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Real-time algorithmic music composition application.
Published 2022“…The developed system shall be able generated music based on a genetic algorithm, where users can define basic parameters including the instrument used to play the music, tempo, number of generated notes, and the number of measures to generate. …”
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Final Year Project / Dissertation / Thesis -
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Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The flexibility of a genetic algorithm allows various strategies to be applied to it. …”
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Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The flexibility of a genetic algorithm allows various strategies to be applied to it. …”
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Application of harmonic functions through Modified SOR (MSOR) method for robot path planning in indoor structured environment
Published 2017“…It is known that harmonic functions are very suitable to be used as a global approach for robot path planning. …”
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Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control
Published 2016“…In recent works, it was shown that the SEF can be approximated using tangential hyperbolic function (THF) for Hammerstein and Wiener NLFXLMS algorithms, such that the degree of nonlinearity can be estimated using modelling approach. …”
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Thesis -
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Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed...
Published 2022“…The performance analysis of the models revealed that the SVM incorporated with linear kernel had the least performance with R2 in the range of 0.3â��0.7. Whereas the best performance in terms of prediction of the syngas composition was obtained using the NLRQM algorithm with an inbuilt SQP and LM algorithms. …”
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification
Published 2024“…In addition, the local optima issue is overcome by the population reinitialisation method. The proposed algorithm, named the CFS-Mutable Composite Firefly Algorithm (CFS-MCFA), is evaluated based on two metrics, namely classification accuracy and genes subset size, using a Support Vector Machine (SVM) classifier. …”
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Optimum grouping in a modified genetic algorithm for discrete-time, non-linear system identification
Published 2007“…The flexibility of a genetic algorithm allows various strategies to be applied to it. …”
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Article -
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Nonlinear FXLMS algorithm for active noise control systems with saturation nonlinearity
Published 2012“…However, NLFXLMS cannot be implemented in real time because the modeling of the SEF cannot be realized. In this paper, a new method to model the secondary path using the Hammerstein model structure and tangential hyperbolic function (THF) is proposed. …”
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