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Performance evaluation of real-time multiprocessor scheduling algorithms
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Conference or Workshop Item -
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Basically, the proposed of FUHS16, UHDS16 and UHDS8 algorithm produces the best motion vector estimation finding based on the block-based matching criteria. …”
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Book Chapter -
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Using the bees algorithm to optimise a support vector machine for wood defect classification
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A Method For Solving Mult-Objective Optimization Problem: Vector Evaluated Genetic Algorithm (Vega)
Published 2009“…Nonetheless, GAs which always deal with single objective cannot be used to solve MOOP. Consequently, some components of GAs had been modified to produce Vector Evaluated Genetic Algorithm (VEGA) in order to adapt the nature of MOOP. …”
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Final Year Project Report / IMRAD -
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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An ensemble data summarization approach based on feature transformation to learning relational data
Published 2015“…A genetic algorithm (GA) is also used to find the best centroids for all the clusters generated cluster centroids. …”
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Thesis -
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An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
Published 2011“…The idea is to use GA as an optimizer to find the optimal values of hyper-parameters of LS-SVM and adopt a supervised learning approach to train the LS-SVM model. …”
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Improving Vector Evaluated Particle Swarm Optimisation using Multiple Nondominated Leaders
Published 2014“…Therefore, in this study, the concept ofmultiple nondominated leaders is incorporated to further improve the VEPSO algorithm. Hence, multiple nondominated solutions that are best at a respective objective function are used to guide particles in finding optimal solutions. …”
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Development of language identification system using MFCC and vector quantization
Published 2017“…The MFCC will be extracted to derive the related feature vector. Vector Quantization (VQ) algorithm is then used as classifier. …”
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Proceeding Paper -
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. This application can be installing into the mobile phone.…”
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Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm
Published 2023“…Many of these dimensionalities have a major impact on the complexity and performance of the algorithms used for classification. Various challenges were encountered, including how to determine the optimal combination of pre-processing techniques, how to clean the dataset, and determine the best classification algorithm. …”
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Effect of displacement vector in the direction of arrival estimation / Nor Syaliza Talha
Published 2007“…The algorithms used in detecting the DOA are the Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational invariance Techniques (ESPRIT). …”
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Effect of displacement vector in the direction of arrival estimation / Nor Syaliza Talha
“…The algorithms used in detecting the DOA arc the Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational invariancc Techniques (ESPRIT). …”
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Article -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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Thesis
