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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength
Published 2015“…Many researchers have trained ANFIS parameters using metaheuristic algorithms but very few have considered optimizing the ANFIS rule-base. …”
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Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…To address the computational complexity and memory bandwidth requirement problems of interpolate and search method in the SME of H.264/AVC, we introduce a low complexity algorithm and its hardware architecture for SME with quarter-pixel accuracy that is based on parabolic interpolation free algorithms. …”
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High performance work system-performance nexus in Nigerian SMEs: a moderated mediation study
Published 2018“…The Partial Least Squares Method (PLS) algorithm and the bootstrapping technique were used to test the study's hypotheses. …”
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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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Aligning Malaysian SMEs with the megatrends: the roles of HPWPs and employee creativity in enhancing Malaysian SME performance
Published 2018“…The partial least squares algorithm and the bootstrapping technique were used for data analysis. …”
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Withstanding the effect of Industry 4.0: the role of high performance work system and management philosophy
Published 2020“…The present study employed cross-sectional research approach in which data were collected from a sample of 518 of SME managers in Nigeria. Partial Least Squares Method (PLS) algorithm and bootstrapping technique were used to test the study’s hypotheses. …”
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WEB-BASED RECRUITMENT RANKING PLATFORM
Published 2019“…Interview session has been conducted to look further into current recruitment issue and supporting the objectives of this project. By using collaborative filtering algorithms, the platform will provide a fair judgment of scores to be graded to the job applicants. …”
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Final Year Project -
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The development of instrument for real-time monitoring of heavy metal discharge for batik industry
Published 2019“…This work had employed mathematical algorithm to analyze the existing metal concentration in the solution based on statistical analysis from the data collection using laboratory control sample. …”
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Machine learning for data classification in construction project planning
Published 2023“…Machine Learning is a tool of Artificial Intelligence to use the algorithms and statistical models to enable a machine to learn the concept and make predictions or decision as an outcome. …”
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An improved diabetes risk prediction framework : An Indonesian case study
Published 2018“…Pre-processing resolves the issue of missing data and hence normalizes the data.Outlier treatment employs k-mean clustering to validate the class.Suitable components were selected through comparison of classifier algorithms and feature selection.Attribute weighting based feature selection was selected for assigning weightage.Weighted risk factor was used on training dataset in order to improve accuracy and computation time of the prediction. …”
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