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1
Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman
Published 2012“…The developed jigsaw puzzle was then tested to see the effectiveness ofthe Backtracking algorithm. …”
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Thesis -
2
Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance
Published 2020“…To address this problem, we developed algorithms that quantify, reduce, and induce topographical effects in satellite images by exploring the relationship between direct and diffuse solar irradiance. …”
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3
Diagnosis and recommender system for diabetes patient using decision tree / Nurul Aida Mohd Zamary
Published 2024“…This project aims to develop a decision-making support model for diabetes diagnosis and treatment recommendation using the decision tree algorithm. …”
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4
ANALYSIS AND INTERPRETATION OF PRESSURE TRANSIENT TEST DATA BY RECENT ROBUST DECONVOLUTION METHODS
Published 2013“…Several synthetic and field test data are used to illustrate the effects of the algorithmic parameters on the deconvolved responses as well as the importance of the deconvolution in analysis and interpretation of pressure transient data.…”
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Final Year Project -
5
Development of symbolic algorithms for certain algebraic processes
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Monograph -
6
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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7
Development of improved metaheuristic algorithms for modelling and control of a flexible manipulator system
Published 2019“…In this work the algorithms are developed on a Matlab and Simulink software. …”
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Research Report -
8
Development of symbolic algorithms for certain algebraic processes
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Monograph -
9
Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. The objective of this project is to develop ANN model for ISFET sensor that able to estimate the main ion in mixed solution by learning the pattern of the input and output of the sensor. …”
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10
Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…Backpropagation is used as the learning method of ANN model. The algorithm will be developed in MATLAB. The objective of this project is to develop ANN model for ISFET sensor that able to estimate the main ion in mixed solution by learning the pattern of the input and output of the sensor. …”
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11
Development of indexer considering tag weighting for XML document / Masliana Wahid @ Buang
Published 2005“…This research is used the inverted file method for the indexing techniques to develop the indexing algorithm of the FTMSK official letter. …”
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12
Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The performance of the proposed algorithm is also compared to the model developed using the orthogonal least squares (OLS) algorithm. …”
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13
Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The performance of the proposed algorithm is also compared to the model developed using the orthogonal least squares (OLS) algorithm. …”
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14
Model structure selection for a discrete-time non-linear system using genetic algorithm
Published 2004“…The performance of the proposed algorithm is also compared to the model developed using the orthogonal least squares (OLS) algorithm. …”
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15
Improvement and performance analysis on statistical selection algorithms
Published 2006“…Over the years, the distributed database has been developed so fast that there's a need to develop an effective selection algorithm for it. …”
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Conference or Workshop Item -
16
Automated path testing using the negative selection algorithm
Published 2017“…The experimental results show that the proposed algorithm is more efficient in time of execution and more effective in the generation of test data when compared with random testing and genetic algorithm.…”
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Indexed Article -
17
Development of classification algorithms of human gait
Published 2022“…Thus, this study aims to develop a classification algorithm that can effectively classify subjects with relatively simplified input data. …”
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Final Year Project / Dissertation / Thesis -
18
The effect of GA parameters on the performance of GA-based QoS routing algorithm
Published 2023“…This paper presents the simulation result of the effect of three GA parameters which are maximum iterations, population size and mutation probability on the developed algorithm. � 2008 IEEE.…”
Conference paper -
19
Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…Computational experiments were conducted on the developed algorithm coded in Matlab to test the effectiveness of the algorithm. …”
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20
Three-dimensional coverage control for multi-unmanned aerial vehicle
Published 2024“…This study proposes a 3D coverage control algorithm to address complex real-world scenarios, wherein the 3D control algorithm will be developed based on the 2D MBC scheme. …”
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Final Year Project / Dissertation / Thesis
