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Optimized clustering with modified K-means algorithm
Published 2021“…In order to obtain the optimum number of clusters and at the same time could deal with correlated variables in huge data, modified k-means algorithm was proposed. …”
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Thesis -
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An algorithm for pulsed activation of solenoid valves for variable rate application of agricultural chemicals
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Conference or Workshop Item -
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Prediction of Machine Failure by Using Machine Learning Algorithm
Published 2019“…Then, the data is cluster by using K Means to produce labeled input that will be trained by using Gradient Boosting Machine, a decision tree algorithm to make prediction. …”
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Final Year Project -
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Integrated ACOR/IACOMV-R-SVM Algorithm
Published 2017“…A direction for ACO is to optimize continuous and mixed (discrete and continuous) variables in solving problems with various types of data. …”
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Article -
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Improving the tool for analyzing Malaysia’s demographic change: data standardization analysis to form geo-demographics classification profiles using k-means algorithms
Published 2016“…Clustering is one of the important methods in data exploratory in this era because it is widely applied in data mining.Clustering of data is necessary to produce geo-demographic classification where k-means algorithm is used as cluster algorithm. …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility
Published 2024“…Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) to examine the relationships between variables. …”
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An evolutionary based features construction methods for data summarization approach
Published 2015“…In other words, this research will discuss the application of genetic algorithm to optimize the feature construction process from the Coral Reefs data to generate input data for the data summarization method called Dynamic Aggregation of Relational Attributes (DARA). …”
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Research Report -
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Improved Variable Neighbourhood Descent (VND) to Solve Universiti Malaysia Sarawak (UNIMAS) Course Timetabling Problem
Published 2023“…The improved algorithm was tested on real-world data instances (in semesters 1 and 2 of 2019/2020) at the FCSIT, UNIMAS. …”
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A study on advanced statistical analysis for network anomaly detection
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Monograph -
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…The study used input energy data from 8 variables for developing energy models. …”
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Thesis -
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Characterization of water quality conditions in the Klang River Basin, Malaysia using self organizing map and K-means algorithm
Published 2015“…The self organizing map (SOM) combined with the K-means algorithm arranged the data based on the relationships of 25 variables. …”
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MotionSure: a cloud-based algorithm for detection of injected object in data in motion
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Proceeding Paper -
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Classification of students' performance in computer programming course according to learning style
Published 2024Conference Paper -
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Bayesian inference for the bivariate extreme model
Published 2016“…Maximum likelihood method and a Markov chain Monte Carlo (MCMC) technique, Multiple-try Metropolis algorithm are implemented into the data analysis. MTM algorithm is the new alternative in the field of Bayesian extremes for summarizing the posterior distribution. …”
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Conference or Workshop Item -
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