Search Results - (( evolution optimization mining algorithm ) OR ( frames extraction function algorithm ))

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  1. 1

    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

    Published 2024
    “…During the retrieval phase, a new activation function and Swarm Mutation were proposed to ensure the diversity of the neuron states. The proposed algorithm and mutation mechanism showed optimal performances as compared to the existing algorithms. …”
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    Thesis
  2. 2

    Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

    Published 2019
    “…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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    Thesis
  3. 3

    Seed disperser ant algorithm for optimization / Chang Wen Liang by Chang , Wen Liang

    Published 2018
    “…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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    Thesis
  4. 4

    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…Wavelet is a mathematical function that decomposes any given data signals and enabling the extraction of discontinuities and sharp spikes permeated in the signal. …”
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    Final Year Project / Dissertation / Thesis
  5. 5

    Shunt active power filter with modified synchronous reference frame technique and fuzzy logic current controller for harmonic mitigation by Suleiman, Musa

    Published 2017
    “…Therefore, in this research work, two modifications have been introduced to address the mentioned issues. First, harmonic extraction using SRF for three-phase three-wire system introduces a band pass filter, and second, simple three membership functions in fuzzy logic controller for inputs and five outputs are designed to improve performance of the switching algorithm. …”
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    Thesis
  6. 6

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
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    Article
  7. 7
  8. 8

    Modified synchronous reference frame based shunt active power filter with fuzzy logic control pulse width modulation inverter by Musa, Suleiman, Mohd Radzi, Mohd Amran, Hizam, Hashim, Abdul Wahab, Noor Izzri, Hoon, Yap, Mohd Zainuri, Muhammad Ammirrul Atiqi

    Published 2017
    “…This paper evaluates the performance of the modified synchronous reference frame extraction (MSRF) algorithm with fuzzy logic controller (FLC) based current control pulse width modulation (PWM) inverter of three-phase three-wire SAPF to mitigate current harmonics. …”
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    Article
  9. 9
  10. 10

    Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim by Mohamed Hatim, Shahirah

    Published 2016
    “…The data undergo the pre-processed phase which consists of edge detection, adaptive thresholding segmentation and MATLAB regionprops function for feature extraction. The main goal of the research is to apply the concept of Genetic Algorithm (GA) that can classify hand movements as unlawful behavior in videos. …”
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    Thesis
  11. 11

    Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

    Published 2018
    “…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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    Thesis
  12. 12

    Development of sorting system for oil palm in vitro shoots using machine vision approach by Al-Ruhaimi, Hamdan Yahya Ahmed

    Published 2014
    “…Ultimately, the sorting algorithm performance came to be evaluated by support vector machine algorithm. …”
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    Thesis
  13. 13

    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language by Sutarman, .

    Published 2016
    “…In this study, spherical coordinate conversion process and segmentation frame using mean function were used. The experiments have achieved 95.56 % in accuration rates for Correlation-based Feature Subset Evaluation (CfsSubsetEval).…”
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    Thesis