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  1. 1
    Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals

    Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals by Too, Jing Wei

    Published 2020
    “…Initially, Short Time Fourier Transform (STFT) and Discrete Wavelet Transform (DWT) are used for signal processing. Afterward, several time-frequency features are extracted to form the STFT feature set and DWT feature set. …”
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  2. 2
    Estimating Face Emotion using Genetic Algorithm

    Estimating Face Emotion using Genetic Algorithm by Karthigayan, M., Mohd Rizon, Muhamed Juhari, Sazali, Yaacob, Nagarayan, R.

    Published 2009
    Subjects: “…Feature extraction…”
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  3. 3
    Development of a personified face emotion recognition technique using fitness function

    Development of a personified face emotion recognition technique using fitness function by Muthukaruppan, Karthigayan, Mohd Rizon, Mohamed Juhari, Ramachandran, Nagarajan, Masanori, Sugisaka, Sazali, Yaacob, Mohd Rozailan, Mamat, Hazry, Desa

    Published 2009
    Subjects: “…Feature extraction…”
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  4. 4
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…Feature extraction and selection reduces the number of features. …”
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  5. 5
    Utilizing artificial bee colony algorithm as feature selection method in Arabic text classification

    Utilizing artificial bee colony algorithm as feature selection method in Arabic text classification by Hijazi, Musab, Zeki, Akram M., Ismail, Amelia Ritahani

    Published 2023
    “…One of the widely used algorithms for feature selection in text classification is the Evolutionary algorithm . …”
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  6. 6
    Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application

    Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application by Maliki, Mohamad Nansah, Abu Bakar Al-Attas, Syed Abdul Rahman

    Published 2004
    “…In this work we present features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application. …”
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  7. 7
    Japanese face emotions classification using lip features

    Japanese face emotions classification using lip features by Mohamad Rizon, Mohamed Juhari, Muthukaruppan, Karthigayan, Sazali, Yaacob, Nagarajan, R.

    Published 2009
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  8. 8
    Differential evolution for neural networks learning enhancement

    Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

    Published 2008
    “…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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  9. 9
    Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis

    Face recognition using integrated discrete cosine transform and kernel fisher discriminant analysis by Janahiraman T.V., Omar J., Farukh H.N.

    Published 2023
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  10. 10
    A new approach for recognition of human emotions

    A new approach for recognition of human emotions by Karthigayan, M., Mohd Rizon, Muhamed Juhari, Sazali, Yaacob, Nagarajan, R.

    Published 2009
    Subjects: “…Feature extraction…”
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  11. 11
    Investigation of features for classification RFID reading between two RFID reader in various support vector machine kernel function

    Investigation of features for classification RFID reading between two RFID reader in various support vector machine kernel function by Choong, Chun Sern, Ahmad Fakhri, Ab. Nasir, P.P. Abdul Majeed, Anwar, Muhammad Aizzat, Zakaria, Mohd Azraai, Mohd Razman

    Published 2022
    “…The feature of RSSI is extracted to nine single statistical features and three combinations of different statistical features for evaluated the classification performance in different kernel functions of the SVM classifier. …”
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  12. 12
    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition

    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition by Ali Adlan, Hanan Hassan

    Published 2004
    “…The RNN was used to detect patterns present in satellite image. A novel feature extraction algorithm was developed to extract the feature vectors. …”
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  13. 13
    Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA

    Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA by Phak Len, Eh Kan, Rafikha Aliana, Raof, Ahmad Nasir, Che Rosli, Razaidi, Hussin

    Published 2009
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  14. 14
    An automated cervical pre-cancerous diagnostic system

    An automated cervical pre-cancerous diagnostic system by Nor Ashidi, Mat-Isa, Mohd Yusoff Mashor, Nor Hayati, Othman

    Published 2009
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  15. 15
    Acoustic Profiles Based On Quranic Maqamat Audio Features

    Acoustic Profiles Based On Quranic Maqamat Audio Features by Farah Hanim bt Seman @ Abd Jabar

    Published 2024
    thesis::doctoral thesis
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  16. 16
    Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy

    Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy by Al-Dabbagh, Rawaa Dawoud, Neri, Ferrante, Idris, Norisma, Baba, Mohd Sapiyan

    Published 2018
    “…DE is very sensitive to its parameter settings and mutation strategy; thus, this study aims to investigate these settings with the diverse versions of adaptive DE algorithms. This study has two main objectives: (1) to present an extension for the original taxonomy of evolutionary algorithms (EAs) parameter settings that has been overlooked by prior research and therefore minimize any confusion that might arise from the former taxonomy and (2) to investigate the various algorithmic design schemes that have been used in the different variants of adaptive DE and convey them in a new classification style. …”
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  17. 17
    Feature extraction using neocognitron learning in hierarchical temporary memory

    Feature extraction using neocognitron learning in hierarchical temporary memory by Mousa, Aseel, Yusof, Yuhanis

    Published 2015
    “…As for evaluation, a comparison is made against the original HTM and principal component analysis (PCA).The results show that more features are extracted as a function of input patterns than the original HTM and PCA.…”
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  18. 18
    Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm

    Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm by Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Md. Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl

    Published 2019
    “…Furthermore, the right and left occipital channels may help in identifying happiness, sadness, surprise and neutral emotional states. The DEFS_Ch algorithm raised the linear discriminant analysis (LDA) classification accuracy from 80% to 86.85%, indicating that DEFS_Ch may offer a useful way for reliable enhancement of the detection of different emotional states of the brain regions.…”
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  19. 19
    A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah

    A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah by Mansoor Abdullah, Hayat

    Published 2012
    “…Then principal component analysis (PCA) was applied to normalize the extracted features.Novel techniques of auto-alignments with shape index procedures was developed here,where auto-alignments function was used to aligned image objects with horizontal coordinates to extracted object features in similar position. …”
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  20. 20
    Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features

    Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features by Mohebbi Zulfikar, Mohd Ali, Wahida, Mansor, Lee, Yoot Kuan, Dr., Azlee, Zabidi

    Published 2012
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