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Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer
Published 2017“…Furthermore, the Lazy-IBK algorithm have been validated to produce the best classifier model, with the machine learning algorithm performance of 65.26%, recall of 65.3%, and 65.4% F-measured as compared to other evaluated machine learning classifier algorithms proposed within the WEKA data mining algorithm. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning.
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Comparative analysis for topic classification in juz Al-Baqarah
Published 2018“…This research project is aiming to create computing environment that enable us use to text mining the Quran. The classification experiment is using the Support Vector Machine to find themes in Juz‟ Baqarah. …”
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Improved Malware detection model with Apriori Association rule and particle swarm optimization
Published 2019“…In this method, the candidate detectors generated by particle swarm optimization form rules using apriori association rule. These rule models are used together with extraction algorithm to classify and detect malicious android application. …”
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The future of money: cryptocurrency is the way to go in Malaysia / Dr. Zuraidah Mohamed Isa, Dr. Dahlia Ibrahim and Dr. Mohamad Hanif Abu Hassan
Published 2022“…Cryptocurrency is a system that uses computers to mine it, where mining requires the solution of several mathematical algorithms. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…From the data analysis using WEKA software, the production rules classifier (PART) is found to be the most accurate classification algorithm in classifying the emotion which yields the highest precision percentage of 99.6% compared to J48 (99.5%) and Naïve Bayes (96.2%). …”
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Classification of metamorphic virus using n-grams signatures
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Hybrid DE-PEM algorithm for identification of UAV helicopter
Published 2014“…Practical implications – The identification algorithm is expected to facilitate the required model development for model-based control design for autonomous helicopter development. …”
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A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
Published 2014“…Purpose: The manuscript presents an investigation into a constraint programming-based genetic algorithm for capacity output optimization in a back-end semiconductor manufacturing company. …”
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Agreement options for negotiation on material location decision of housing development
Published 2020“…Social implications: The satisficing algorithm of the coalition will satisfy all stakeholders. …”
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Evaluation of the routing algorithms for NoC-based MPSoC: a fuzzy multi-criteria decision-making approach
Published 2023“…Firstly, the decision matrix is constructed based on the performance assessment criteria and routing algorithms. …”
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…The best algorithm will not be the same for all the data sets. …”
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A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES
Published 2020“…This study only focuses on three types of clustering techniques which are k-means clustering, agglomerative hierarchical clustering with the ward’s linkage, complete linkage, and average linkage, and Self-Organizing Map (SOM). The clustering algorithms are written using Python language by modifying the coding obtained from the Internet. …”
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Final Year Project Report / IMRAD -
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Optimization of an extended H-infinity controller for unmanned helicopter control using multiobjective differential evolution (MODE)
Published 2015“…Then apply the MODE-based algorithm to optimize the weighting function of the control problem formulation for optimal performance. …”
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