Search Results - sme ((path algorithm) OR (based algorithm))

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  1. 1

    Fast algorithm analysis and bit-serial architecture design for sub-pixel motion estimation in H.264 by Fatemi, M.R.H., Ates, H.F., Salleh, R.

    Published 2010
    “…To solve the above difficulties, we propose several optimization techniques in both algorithm and architecture levels. In the algorithm level, we propose a parabolic based algorithm for SME with quarter-pixel accuracy which reduces the computational budget by 94.35% and the memory access requirement by 98.5% in comparison to the standard interpolate and search method. …”
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    Article
  2. 2

    Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength by Hussain Talpur, Kashif

    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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    Thesis
  3. 3

    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 by Hosseiny Fatemi, Mohammad Reza

    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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    Thesis
  4. 4

    WEB-BASED RECRUITMENT RANKING PLATFORM by Shamsani, Nur Nadeira

    Published 2019
    “…The aim supported by objectives of this project is to help hiring officers in identifying most suitable candidates based on listed skills on a platform. The scope of study for this project are arranging it to be completed within the FYP course time frame which is less than 28 weeks and the project will only cater for SME or companies where no specific platform is being utilised for their recruitment proces. …”
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    Final Year Project
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    Withstanding the effect of Industry 4.0: the role of high performance work system and management philosophy by Meddour, Houcine, Abdulssalaam, Iyanda Ismail, Abdul Majid, Abdul Halim

    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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    Article
  7. 7

    The development of instrument for real-time monitoring of heavy metal discharge for batik industry by Zukri, Mohammad Nizar Mohamed

    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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    Thesis
  8. 8

    Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum by Wardhana, Mohammad Hadyan

    Published 2023
    “…Then, the selection of the critical features is chosen via Neural Network (NN) as classification algorithm and Genetic Algorithm (GA) as an optimization technique. …”
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    Thesis
  9. 9

    An improved diabetes risk prediction framework : An Indonesian case study by Sutanto, Daniel Hartono

    Published 2018
    “…In the learning section,Support Vector Machine and Artificial Neural Network were selected as suitable classification algorithms,while Gradient Boosted Tree was employed to interpret the rule based on the black box classifiers.Testing the framework involved Pima Indian Dataset as public dataset and Semarang Hospital Dataset as private dataset (800 patients’ data).In validating the DRPF,four case studies investigated Subject Matter Expert (SME) groups based on the agreement level.The questionnaire consists of a DRPF component,implementation of DRPF,and viability of DRPF.DRPF components were validated by the SMEs,whereby the group ascertained five highest risk factors:HbA1c,systole/diastole,blood glucose,and creatinine and blood urea nitrogen that were assigned by attribute weighting.Results from the questionnaire revealed an average agreement level of 80%. …”
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    Thesis
  10. 10

    Machine learning for data classification in construction project planning by Lau, Zheng Liang

    Published 2023
    “…Resulting the project company easier make decision in the project planning without distressed. Based on business information management, Machine Learning is the most recommended technologies tool to supports many project companies and SME in their business growing. …”
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    Final Year Project / Dissertation / Thesis
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