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Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…Overall, the VR products developed have proven to be practical and effective in learning programming algorithms. …”
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Practical cryptography: algorithms and implementations using C++
Published 2014“…Some books that include cryptographic algorithms with practical programming codes are by this time (i.e., at the preparation of this book) outdated. …”
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Bats echolocation-inspired algorithms for global optimisation problems
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Hybrid DE-PEM algorithm for identification of UAV helicopter
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Development of I-Complain@META: a complaint management system for FKMT students using naive bayes classification algorithm
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Development of a cost efficient vision system for defects detection / Muhammad Zarif Kamarudin
Published 2010“…This need to be done due to the fact that further improvement of this project will need the coding history on how the algorithm being developed thus documentation is the common practice in programming stage. …”
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Monograph -
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Visualization Tool for Pathfinding Algorithms
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Final Year Project Report / IMRAD -
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…The development process for this simulation is using programming language of Microsoft Visual C I t 6.0 and the coding creation depends on the algorithm flowchart and the formula pseudocode. …”
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Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…This tool can be used to ease the process of developing a new March test algorithm for NPSF.…”
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Development of cost efficient vision system for defects detection / Muhammad Zarif Kamarudin
Published 2010“…This need to be done due to the fact that further improvement of this project will need the coding history on how the algorithm being developed thus documentation is the common practice in programming stage. …”
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Real time nonlinear filtered-x lms algorithm for active noise control
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Automated time series forecasting
Published 2011“…While quantitative technique is based on statistical concepts and requires large amount of data in order to formulate the mathematical models.This technique can be classified into projective and causal technique.The projective technique (or univariate modelling) just involve one variable while the causal technique (or econometric modelling) suitable for multi-variables.Since forecasting involves uncertainty, several methods need to be executed on one set of time series data in order to produce accurate forecast.Hence, usually in practice forecaster need to use several softwares to obtain the forecast values.If this practice can be transformed into algorithm (well-defined rules for solving a problem) and then the algorithm can be transformed into a computer program, less time will be needed to compute the forecast values where in business world time is money.In this study, we focused on algorithm development for univariate forecasting techniques only and will expand towards econometric modelling in the future.Two set of simulated data (yearly and non-yearly) and several univariate forecasting techniques (i.e. …”
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Monograph
