Search Results - (( parameters derivation method algorithm ) OR ( basic visualization using algorithm ))
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Ultrasonic Tomography System For Liquid/Gas Flow: Frame Rate Comparison Between Visual Basic And Visual C++ Programming
Published 2006“…Therefore, Visual C++ is expected to achieve a higher processing speed than Visual Basic. …”
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Article -
2
An application of simulated Kalman filter optimization algorithm for parameter tuning in proportional-integral-derivative controllers for automatic voltage regulator system
Published 2018“…Compared to another well-established optimizer, such as particle swarm optimization (PSO), the SKF algorithm is a relatively new optimizer and most importantly, the SKF algorithm has not been applied to parameter tuning of PID controller. …”
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Conference or Workshop Item -
3
An application of simulated Kalman filter optimization algorithm for parameter tuning in proportional-integral-derivative controllers for automatic voltage regulator system
Published 2018“…The findings suggest that the SKF algorithm has promising potentials to be a good tuning method in PID controller.…”
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Conference or Workshop Item -
4
Using Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulators
Published 2023“…The movement and the configurations of the manipulators at the task points were visualized using a simulator developed via Visual Basic. …”
Conference paper -
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…A user friendly GUI is developed using VISUAL BASIC to interface the user commands with the Robot controller. …”
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Monograph -
7
Confidence intervals (CI) for concentration parameter in von Mises distribution and analysis of missing values for circular data / Siti Fatimah binti Hassan
Published 2015“…From this derivation, we construct the CI for the concentration parameter. …”
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Thesis -
8
Parameter-driven count time series models / Nawwal Ahmad Bukhari
Published 2018“…Simulation shows that MCEM algorithm and particle method are useful for the parameter estimation of the Poisson model. …”
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Thesis -
9
Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…Moreover,this application will be using the programming language Visual Basic. Net applied in Visual Studio 2008.The methodology has chosen is rapid application development (RAD) where this method is the archive with apparel search requirement. …”
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Undergraduates Project Papers -
10
Weighting method for modal parameter based damage detection algorithms
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Article -
11
Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…Moreover,this application will be using the programming language Visual Basic. Net applied in Visual Studio 2008.The methodology has chosen is rapid application development (RAD) where this method is the archive with apparel search requirement. …”
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Undergraduates Project Papers -
12
Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension
Published 2015“…This model is then to be used in the prototype tool development that is called 3De-ALPROV (Design Development Debug – Algorithm Program Visualization). …”
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Thesis -
13
An Approach to Derive Parametric L-System Using Genetic Algorithm
Published 2009“…The higher level of GA deals with the evolution of symbols and lower level deals with the evolution of numerical parameters. Initial results derived from the approach are very promising, which shows that complicated branching structures can be easily derived by the multilayered architecture of GA. …”
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Book Section -
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PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah
Published 2017“…Results suggest that the PSO algorithm is viable alternative to other established algorithms for LLS parameter estimation. …”
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Thesis -
15
A Hybrid Gini PSO-SVM Feature Selection: An Empirical Study of Population Sizes on Different Classifier
Published 2014“…A performance of anti-spam filter not only depends on the number of features and types of classifier that are used, but it also depends on the other parameter settings. Deriving from previous experiments, we extended our work by investigating the effect of population sizes from our proposed method of feature selection on different learning classifier algorithms using Random Forest, Voting, Decision Tree, Support Vector Machine and Stacking. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…Another problem is estimating the covariance matrix of the parameter estimators, since the existing methods involve derivative of the hazard function of the model’s error terms. …”
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Thesis -
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Particle swarm optimization (PSO) for CNC route problem
Published 2002“…The algorithm used in this project is the Global Best (gbest) algorithm where it is a basic algorithm of Particle Swarm Optimization which applicable the shortest time and path of CNC machine to complete the process of drilling. …”
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Undergraduates Project Papers -
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VISUAL MOUSE (COLOR TRACKING)
Published 2007“…The basic principle of this project would be distinguishing color and use its properties to move a cursor in MATLAB and draw as well.…”
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Final Year Project -
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BBO algorithm-based tuning of PID controller for speed control of synchronous machine
Published 2023Article
