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  1. 1
    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization

    Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization by Yahya, Zainor Ridzuan

    Published 2013
    “…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
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  2. 2
    Differential evolution technique of HEPWM for three-phase voltage source inverter

    Differential evolution technique of HEPWM for three-phase voltage source inverter by Azziddin, Mohamad Razali, Kamisman, Norazelina, Jurifa, Mat Lazi, Bahari, Norhazilina

    Published 2016
    “…This paper presents the execution of Differential Evolution (DE) algorithm in order to understand the principle operation of Harmonic Elimination Pulse-Width Modulation (HEPWM) switching technique. …”
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  3. 3
    Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter

    Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter by Kamisman, Norazelina

    Published 2018
    “…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
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  4. 4
    Comparison of measured maxillo-pharyngeal angle on lateral cervical radiograph & modified mallampati classification in predicting difficult laryngoscopy

    Comparison of measured maxillo-pharyngeal angle on lateral cervical radiograph & modified mallampati classification in predicting difficult laryngoscopy by Ming, Fung Eng

    Published 2015
    “…Available techniques have poor to moderate sensitivity and reliability for the task. …”
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  5. 5
    An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab

    An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab by Bassam Ali Qasem, Al-Qatab

    Published 2020
    “…Our proposed method introduces the intra-severity classification and adaptation techniques which are applied sequentially in two stages of system development. …”
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  6. 6
    Per-pixel and sub-pixel classifications of high-resolution satellite data for mangrove species mapping

    Per-pixel and sub-pixel classifications of high-resolution satellite data for mangrove species mapping by Kanniah, Kasturi Devi, Ng, Su Wai, Lau, Alvin Meng Shin, Rasib, Abd. Wahid

    Published 2007
    “…Conventional per-pixel classification techniques could not improve the classification accuracy when such high-resolution images are applied. …”
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  7. 7
    Modeling 2D appearance evolution for 3D object categorization

    Modeling 2D appearance evolution for 3D object categorization by Mohd Zaki, Hasan Firdaus, Shafait, Faisal, Mian, Ajmal

    Published 2016
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  8. 8
    Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman

    Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman by Sulaiman, Norizam

    Published 2015
    “…The assignment of the stress index is verified by applying Z-score technique to the selected EEG features. The experiments established a 3-level index (Index 1, Index 2 and Index 3) which represents the stress levels of low stress, moderate stress and high stress at overall classification accuracy of 88.89%, classification sensitivity of 86.67 % and classification specificity of 100%. …”
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  9. 9
    Determination and classification of human stress index using non parametric analysis of EEG signals / Norizam Sulaiman

    Determination and classification of human stress index using non parametric analysis of EEG signals / Norizam Sulaiman by Sulaiman, Norizam

    Published 2015
    “…The assignment of the stress index is verified by applying Z-score technique to the selected EEG features. The experiments established a 3-level index (Index 1, Index 2 and Index 3) which represents the stress levels of low stress, moderate stress and high stress at overall classification accuracy of 88.89%, classification sensitivity of 86.67 % and classification specificity of 100%. …”
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  10. 10
    HEAT EXCHANGER NETWORK SYNTHESIS AND OPTIMIZATION BY PINCH ANALYSIS AND DIFFERENTIAL EVOLUTION METHOD

    HEAT EXCHANGER NETWORK SYNTHESIS AND OPTIMIZATION BY PINCH ANALYSIS AND DIFFERENTIAL EVOLUTION METHOD by NGO , THI PHUONG THUY

    Published 2016
    “…This metadology way uses an algorithm which combines Pinch Design Method and Differential Evolution Method. In this technique, the Heat Exchanger Network synthesis is carried out in three levels. …”
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  11. 11
    A telemedicine software application for asthma severity levels identification using wheeze sounds classification

    A telemedicine software application for asthma severity levels identification using wheeze sounds classification by Nabi, Fizza Ghulam, Shafiq, Muhammad, Sundaraj, Kenneth, Iqbal, Muhammad Shahid, Palaniappan, Rajkumar

    Published 2022
    “…MFCC-based features classification provides maximum accuracy of 99%, 90%, and 89% for mild, moderate, and severe samples, respectively. …”
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  12. 12
    Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization

    Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization by Wahab, Muhammad Hafizul Hazmi, Abdul Hamid, Nor Asilah Wati, Subramaniam, Shamala, Latip, Rohaya, Othman, Mohamed

    Published 2024
    “…However, the current approach faces a significant hurdle due to the computational intensity of the process, particularly when employing complex optimization techniques like swarm intelligence optimization alongside a costly ATS repair operator. …”
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  13. 13
    Transfer learning and hybrid deep convolutional neural networks models for autism spectrum disorder classification from EEG signals

    Transfer learning and hybrid deep convolutional neural networks models for autism spectrum disorder classification from EEG signals by Al-Qazzaz, Noor Kamal, Aldoori, Alaa A., Buniya, Ali K., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom

    Published 2024
    “…Accordingly, the primary goal of this study is to use the pre-trained CNNs as classifiers in order to reap the benefits of transfer learning, and the secondary goal is to propose a hybrid model by employing decision tree (DT), K nearest neighbour (KNN), and a Support Vector Machine (SVM) machine learning classification techniques to categorise the features of the pre-trained CNN networks into mild, moderate, severe, and normal categories. …”
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  14. 14
    Determination and classification of human stress index using non-parametric analysis of EEG signals

    Determination and classification of human stress index using non-parametric analysis of EEG signals by Norizam, Sulaiman

    Published 2015
    “…The assignment of the stress index is verified by applying Z-score technique to the selected EEG features. The experiments established a 3-level index (Index 1, Index 2 and Index 3) which represents the stress levels of low stress, moderate stress and high stress at overall classification accuracy of 88.89%, classification sensitivity of 86.67 % and classification specificity of 100%. …”
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  15. 15
    The Evolution Of Non-Invasive Blood Glucose Monitoring System For Personal Application

    The Evolution Of Non-Invasive Blood Glucose Monitoring System For Personal Application by Nurul Akmal, Abd Salam, Wira Hidayat, Mohd Saad, Zahariah, Manap, Fauziyah, Salehuddin

    Published 2016
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  16. 16
    Computational intelligence based technique for solving economic dispatch problem / Nur Azzammudin Rahmat

    Computational intelligence based technique for solving economic dispatch problem / Nur Azzammudin Rahmat by Rahmat, Nur Azzammudin

    Published 2016
    “…Therefore, this research proposes a new computational technique termed as Differential Evolution Immunized Ant Colony Optimization (DEIANT) as an approach to solve the complex economic dispatch process. …”
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  17. 17
    Major issues in the development of a Hacker's Code of Ethics / Ahmad Hafidz Baharom Alam Shah

    Major issues in the development of a Hacker's Code of Ethics / Ahmad Hafidz Baharom Alam Shah by Baharom Alam Shah, Ahmad Hafidz

    Published 2005
    “…The first day, the computer was invented. The next day it was hacked. …”
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  18. 18
    Two level Differential Evolution algorithms for ARMA parameters estimatio

    Two level Differential Evolution algorithms for ARMA parameters estimatio by Salami, Momoh Jimoh Emiyoka, Tijani, Ismaila, Aibinu, Abiodun Musa

    Published 2013
    “…An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. …”
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  19. 19
    Data selection mapping in mobile decision making using MCDSS technique

    Data selection mapping in mobile decision making using MCDSS technique by Anom, Raja Baharuddin, Wahid, Mohd. Taib, Maarof, Mohd. Aizani, Ruskam, Aminuddun

    Published 2007
    “…Multi criteria decision support system (MCDSS) is a decion making technique used in a aplication and system development to help user to solve a problem and make a decision.Along with current computer technology evolution, request for mobile decision support system is increasing tremendously from time to time. …”
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  20. 20
    A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach

    A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach by Puriwat, Lertkrai

    Published 2012
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