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  1. 1
    Hevea leaf features extraction and recognition algorithm for hevea clones classification using image / Mohamad Faizal Ab Jabal, Suhardi Hamid, Salehuddin Shuib

    Hevea leaf features extraction and recognition algorithm for hevea clones classification using image / Mohamad Faizal Ab Jabal, Suhardi Hamid, Salehuddin Shuib by Ab Jabal, Mohamad Faizal, Hamid, Suhardi, Shuib, Salehuddin

    Published 2013
    “…As a result Wu et al. [1] was successful developed an efficient algorithm for the plant classification. 32 kinds of plants have been classified by using the algorithm. …”
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  2. 2
    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
    “…Therefore, this research has designed fuzzy learning algorithm that is able to classify fruits based on their shape and size features using Harumanis dataset. …”
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  3. 3
    Classification of herbs plant diseases via hierarchical dynamic artificial neural network

    Classification of herbs plant diseases via hierarchical dynamic artificial neural network by Abdullah, Lili Nurliyana, Khalid, Fatimah, Borhan, N.M.

    Published 2010
    “…Once the image of a target is captured digitally, a myriad of image processing algorithms can be used to extract features from it. …”
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  4. 4
    Classification of herbs plant diseases via hierachical dynamic artificial neural network after image removal using kernel regression framework

    Classification of herbs plant diseases via hierachical dynamic artificial neural network after image removal using kernel regression framework by Abdullah, Lili Nurliyana, Khalid, Fatimah, Borhan, N.M.

    Published 2011
    “…Once the image of a target is captured digitally, a myriad of image processing algorithms can be used to extract features from it. …”
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  5. 5
    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.

    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

    Published 2005
    “…Based on the experiment results, the classification method using the TIP approach has successfully performed rules generation and classification tasks as required during a classification operation. …”
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  6. 6
    EMG motion pattern classification through design and optimization of neural network

    EMG motion pattern classification through design and optimization of neural network by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

    Published 2012
    “…The EMG signals obtained for different kinds of hand motions, which further denoised and processed to extract the features. Extracted time and time-frequency based feature sets are used to train the neural network. …”
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  7. 7
    Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza

    Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza by Ghulam , Murtaza

    Published 2021
    “…The trained BMIC-Net is used to extract discriminative features from Hp images. …”
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  8. 8
    Disposable Biomimetic Array Sensor Strip Coupled With Chemometric Algorithm For Quality Assessment Of Orthosiphon Stamineus Benth Samples

    Disposable Biomimetic Array Sensor Strip Coupled With Chemometric Algorithm For Quality Assessment Of Orthosiphon Stamineus Benth Samples by Yap, Maxsim Mee Sim

    Published 2006
    “…A disposable screen printed array sensor strip based on self-plasticized methacrylate acrylate PVC blend lipid membranes combined with chemometric algorithm has been developed and applied for qualitative and quantitative analysis of O.stamineus samples. …”
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  9. 9
    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
    “…A novel feature extraction algorithm was developed to extract the feature vectors. …”
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  10. 10
    Raspberry Pi-Based Finger Vein Recognition System Using PCANet

    Raspberry Pi-Based Finger Vein Recognition System Using PCANet by Quek, Ee Wen

    Published 2018
    “…Factors which impact PCANet are studied to identify the limitations of PCANet. For classification, k-Nearest Neighbours (kNN) with Euclidean distance algorithm is implemented. …”
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  11. 11
    EMG motion pattern classification through design and optimization of Neural Network

    EMG motion pattern classification through design and optimization of Neural Network by Md. Rezwanul, Ahsan, Muhammad Ibn, Ibrahimy, Othman Omran, Khalifa

    Published 2012
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  12. 12
    Early detection of spots high water saturation for landslide prediction using thermal imaging analysis

    Early detection of spots high water saturation for landslide prediction using thermal imaging analysis by Ghazali, K. H., Mohd Falfazli, Mat Jusof, Muhammad, Badaruddin, Jadin, Mohd Shawal

    “…The performance of these segmentation algorithms are measured using misclassification error. …”
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  13. 13
    Simulation on Emotion Recognition for Autism Therapy

    Simulation on Emotion Recognition for Autism Therapy by Adzmi, Muhammad Azrin

    Published 2017
    “…This paper mainly focusing on the simulation of emotion recognition software based on the Local Binary Pattern (LBP) algorithm to extract the features from the image. …”
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    Final Year Project
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  14. 14
    Early detection of high water saturation spots for landslide prediction using thermal image analysis

    Early detection of high water saturation spots for landslide prediction using thermal image analysis by Aufa Huda, Muhammad Zin

    Published 2018
    “…There are three segmentation algorithm used in this study which are HSV, K-Means and Feature Matching. …”
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  15. 15
    FEATURES EXTRACTION OF HEP-2 IMMUNOFLUORESCENCE PATTERNS BASED ON TEXTURE AND REGION OF INTEREST TECHNIQUES

    FEATURES EXTRACTION OF HEP-2 IMMUNOFLUORESCENCE PATTERNS BASED ON TEXTURE AND REGION OF INTEREST TECHNIQUES by MD HASIM, SITI MASTURA

    Published 2013
    “…This project involves developing features extraction technique of HEp-2 cell of 2 main patterns namely Nucleolar and Centromere using texture and region of interest technique. Next, to design an algorithm that can automatically identify the 2 patterns of the HEp-2 cell tested using ANA. …”
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  16. 16
    EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.]

    EEG based communication system in generalized & customized modes for differently abled communities / Paulraj M. P. ...[et al.] by M.P., Paulraj, Adom, Abdul Hamid, Yaacob, Sazali, C.R., Hema, Mohd Muslim Tan, Erdy Sulino, Nataraj, Sathees Kumar

    Published 2013
    “…The band frequency signals are used to extract features using band power and power spectral density algorithms. …”
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  17. 17
    Real-time oil palm fruit bunch ripeness grading system using image processing techniques

    Real-time oil palm fruit bunch ripeness grading system using image processing techniques by Alfatni, Meftah Salem M.

    Published 2013
    “…These results are optimal based on the thorns model. A new approach was developed using expert rules-based system. …”
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  18. 18
    Prediction Of Antimicrobial Peptides Based On Sequence Alignment And Secondary Structure Sequence And Segment Sequence.pdf

    Prediction Of Antimicrobial Peptides Based On Sequence Alignment And Secondary Structure Sequence And Segment Sequence.pdf by Soh , Meng Wah

    Published 2015
    “…This indicates that the proposed algorithm is not suitable to be used as AMPs predictor. …”
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  19. 19
    Agent-based extraction algorithm for computational problem solving

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…The results show that the extraction algorithm has been able to extract 100 % of the information correctly. …”
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  20. 20
    Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin

    Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin by AmirHussin, 'Afina

    Published 2019
    “…Traditional learning-based boundary extraction algorithms classify each pixel edge separately and then get boundaries from the local decisions of a classifier. …”
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