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  1. 1
    Aco-based feature selection algorithm for classification

    Aco-based feature selection algorithm for classification by Al-mazini, Hassan Fouad Abbas

    Published 2022
    “…The modified graph clustering ant colony optimisation (MGCACO) algorithm is an effective FS method that was developed based on grouping the highly correlated features. …”
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  2. 2
    Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences

    Ant colony optimization based subset feature selection in speech processing: Constructing graphs with degree sequences by Rajesvary Rajoo R., Salam R.A.

    Published 2024
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  3. 3
    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani

    An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

    Published 2015
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  4. 4
    A comparative analysis of QRS and cardioid graph based ECG biometric recognition in different physiological conditions

    A comparative analysis of QRS and cardioid graph based ECG biometric recognition in different physiological conditions by Iqbal, Fatema-tuz-Zohra, Sidek, Khairul Azami, Noah, Nor Afifah, Gunawan, Teddy Surya

    Published 2014
    “…Classification was performed on the whole dataset, Cardioid graph based method resulted in 96.4% of correctly classified instances, whereas QRS complex based ECG produced 94.7% accuracy rates. …”
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  5. 5
    Development of cardioid based graph ECG heart abnormalities classification technique

    Development of cardioid based graph ECG heart abnormalities classification technique by Mohd Azam, Siti Nurfarah Ain, Zainal, Nur Izzati, Sidek, Khairul Azami

    Published 2015
    “…In this study, the development of Cardioid based graph electrocardiogram heart abnormalities classification technique is presented. …”
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  6. 6
    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification

    Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification by Petwan, Montha

    Published 2023
    “…The performance of FESSIC was evaluated against ten benchmark image classification algorithms and six classifiers on four ground-based sky image datasets. …”
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  7. 7
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…All the algorithm for the engine has been developed by using Java script language. …”
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  8. 8
    Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery

    Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum A., Malik A.S., Saad N.M., bin Abdullah M.F., Iqbal M., Rasheed W., Bin Ab Abdullah A.R., Hj Jaafar M.Y.

    Published 2023
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  9. 9
    Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS

    Cardioid graph based ECG biometric in varying physiological conditions using compressed QRS by Mohd Azam, Siti Nurfarah Ain, Zohra, Fatema-tuz, Sidek, Khairul Azami, Smolen, Magdalena

    Published 2020
    “…Next, a Cardioid graph is generated. In order to verify the matching process, the classification is performed by using the Multilayer Perceptron (MLP) technique. …”
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  10. 10
    Sleep apnea detection using cardioid based grap

    Sleep apnea detection using cardioid based grap by Mohd Azam, Siti Nurfarah Ain, Sidek, Khairul Azami, Zainal, Nur Izzati

    Published 2016
    “…In this study, the development of Cardioid based graph electrocardiogram heart abnormalities classification technique is presented. …”
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  11. 11
    Adaptive method to improve web recommendation system for anonymous users

    Adaptive method to improve web recommendation system for anonymous users by Almurtadha, Yahya Mohammed

    Published 2011
    “…The first is iPACT, an improved recommendation system based on PACT methodology to demonstrate the prediction accuracy of the proposed enhanced classification algorithm in this research. …”
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  12. 12
    Application of Fuzzy C-Means with YCbCr and DenseNet-201 for Automated Corn Leaf Disease Detection

    Application of Fuzzy C-Means with YCbCr and DenseNet-201 for Automated Corn Leaf Disease Detection by Chyntia Jaby, Entuni

    Published 2021
    “…Some of the existing methods of segmentation are K-Means, Otsu’s, edge-based segmentation, watershed segmentation, region growing, mean shift, maxflow mincut (MFMC) graph cut and regional colour segmentation. …”
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  13. 13
    Deep learning algorithm and IoT based system for Photovoltaic (PV) defect images classification

    Deep learning algorithm and IoT based system for Photovoltaic (PV) defect images classification by Mazlan, Nurul Atikah

    Published 2025
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  14. 14
    Collective interaction filtering with graph-based descriptors for crowd behaviour analysis

    Collective interaction filtering with graph-based descriptors for crowd behaviour analysis by Wong, Pei Voon

    Published 2018
    “…The generic descriptors identified are represented by graph-based descriptors. Graph-based descriptors are applied to crowd behaviour analysis and crowd video retrieval. …”
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  15. 15
    Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery

    Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery by Qayyum, A., Malik, A.S., Saad, N.M., bin Abdullah, M.F., Iqbal, M., Rasheed, W., Bin Ab Abdullah, A.R., Hj Jaafar, M.Y.

    Published 2017
    “…The authors propose an UAV approach that utilises a digital surface model and incorporates a stereo matching algorithm based on UAV stereo images. The proposed algorithm was based on a graph-cut (GC) algorithm that measured the disparity map. …”
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  16. 16
    CAGDEEP : Mobile malware analysis using force atlas 2 with strong gravity call graph and deep learning

    CAGDEEP : Mobile malware analysis using force atlas 2 with strong gravity call graph and deep learning by Nur Khairani, Kamarudin, Ahmad Firdaus, Zainal Abidin, Azlee, Zabidi, Mohd Faizal, Ab Razak

    Published 2023
    “…Afterwards, this study adopts Convolutional Neural Network (CNN) for malware detection and classification algorithm. We compare CAGDeep with a state-of-the-art Android malware detection approach. …”
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  17. 17
    Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar

    Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar by Tengku Jaafar, Tengku Salman Fathi

    Published 2006
    “…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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  18. 18
    Flexible attribute classification for MDS points / Raihana Kamsiran

    Flexible attribute classification for MDS points / Raihana Kamsiran by Kamsiran, Raihana

    Published 2010
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  19. 19
    Epileptic seizure detection from electroencephalogram (EEG) signals using linear graph convolutional network and DenseNet based hybrid framework

    Epileptic seizure detection from electroencephalogram (EEG) signals using linear graph convolutional network and DenseNet based hybrid framework by Jibon, Ferdaus Anam, Miraz, Mahadi Hasan, Khandaker, Mayeen Uddin *, Rashdan, Mostafa, Salman, Mohammad, Tasbir, Alif, Nishar, Nazibul Hasan, Siddiqui, Fazlul Hasan

    Published 2023
    “…The concentration on grid-like data has been a significant drawback of existing deep learning-based automatic epileptic seizure detection algorithms from raw EEG signals; nevertheless, physiological recordings frequently have irregular and unordered structures, making it challenging to think of them as a matrix. …”
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  20. 20
    Extrema Points Application In Determining Iris Region Of Interest

    Extrema Points Application In Determining Iris Region Of Interest by Othman, Zuraini, Kasmin, Fauziah, Syed Ahmad, Sharifah Sakinah, Abdullah, Azizi

    Published 2019
    “…Hence, to address this issue, this paper proposed a method of iris localisation in the case of ideal and non-ideal iris images. In this study, the algorithm was based on finding the classification for the region of interest (ROI) with the help of a Support Vector Machine (SVM) by applying a histogram of grey level values as a descriptor in each region from the region growing technique. …”
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