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  1. 1
    Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs

    Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs by Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl

    Published 2021
    “…Finally, the k-nearest neighbors ( kNN) classification technique was used for automatic gender identification of an emotional-based EEG dataset. …”
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  2. 2
    Improved intrusion detection algorithm based on TLBO and GA algorithms

    Improved intrusion detection algorithm based on TLBO and GA algorithms by Aljanabi, Mohammad, Mohd Arfian, Ismail

    Published 2021
    “…Optimization algorithms are widely used for the identification of intrusion. …”
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  3. 3
    Data mining in mobile ECG based biometric identification

    Data mining in mobile ECG based biometric identification by Sidek, Khairul Azami, Mai, Vu, Khalil, Ibrahim

    Published 2014
    “…Experimentation results showed that our method simplifies biometric identification process by obtaining reduced computational complexity when compared to other related algorithms. …”
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  4. 4
    Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari

    Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

    Published 2018
    “…It is also a quite difficult to develop an automated recognition system which could process a large information and provide a correct estimation. In this paper, by using the database available in the internet and using Neural Network (NN) as training algorithm, plant recognition based on leaves image would be developed. …”
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  5. 5
    EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter

    EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter by Woon, W.C., Yahya, N., Badruddin, N.

    Published 2019
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  6. 6
    EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter

    EEG Eye State Identification based on Statistical Feature and Common Spatial Pattern Filter by Woon, W.C., Yahya, N., Badruddin, N.

    Published 2019
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  7. 7
    Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh

    Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh by Sai , Chong Yeh

    Published 2020
    “…This study proposed an integrated system for EEG signals pre-processing by using machine learning algorithms in the identification of artifactual components during the process of Wavelet-ICA. …”
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  8. 8
    Plant leaf recognition algorithm using ant colony-based feature extraction technique

    Plant leaf recognition algorithm using ant colony-based feature extraction technique by Ghasab, Mohammad Ali Jan

    Published 2013
    “…To do this, at first, based on the proposed algorithm,the physiological dimensions of leaves are automatically measured and with regard to these parameters, specified features such as shape, morph, texture and colour are extracted from the image of the plant leaf through image processing to create a reserved feature database to be used for different species of plants. …”
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  9. 9
    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam

    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam by Asrul, Adam

    Published 2017
    “…At first, a peak classification algorithm is developed based on the general following processes including peak candidate identification, feature extraction, and classification. …”
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  10. 10
    Fingerprint feature extraction based discrete cosine transformation (DCT)

    Fingerprint feature extraction based discrete cosine transformation (DCT) by Chin Kim On, Paulraj M. Pandiyan, Sazali Yaacob, Azali Saudi

    Published 2009
    “…The proposed algorithm involved two stages, which is pre-processing of fingerprint image and feature extraction based nCT. …”
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  11. 11
    Review of Wheat Disease Classification and Severity Detection Models

    Review of Wheat Disease Classification and Severity Detection Models by Hongyan, Zang, Annie, Joseph, Shourong, Zhang, Rong, Liu, Wanzhen, Wang

    Published 2023
    “…To combat these diseases, researchers have been studying the use of advanced techniques such as deep plant disease learning and image processing methods for identification. …”
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  12. 12
    Wood texture detection with conjugate gradient neural network algorithm

    Wood texture detection with conjugate gradient neural network algorithm by Widyarto, Setyawan, Suryasa, I. Nyoman, Khairul Annuar, Abdullah, Fajarianto, Otto, Mohd Shafry, Mohd Rahim, Priyandoko, Gigih, Budaya, Gilang Anggit

    Published 2017
    “…The experiments are based on artificial neural network (ANN) algorithm that used back propagation and conjugate gradient method of training function in the process of identification. …”
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  13. 13
    Multilocal feature selection using genetic algorithm for face identification

    Multilocal feature selection using genetic algorithm for face identification by Mohamad, Dzulkifli

    Published 2008
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  14. 14
    Speaker identification through feature fusion based deep learning / Rashid Jahangir

    Speaker identification through feature fusion based deep learning / Rashid Jahangir by Rashid , Jahangir

    Published 2021
    “…Speaker identification refers to the process of recognising human voices using artificial intelligence techniques. …”
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  15. 15
    Region-based segmentation and classification of Mandibular First Molar Tooth based on Demirjian’s method

    Region-based segmentation and classification of Mandibular First Molar Tooth based on Demirjian’s method by Norhasmira, Mohammad, M Y P M, Yusof, Rohana, Ahmad, Anuar Mikdad, Muad

    Published 2020
    “…A region-based segmentation method known as Watershed Transform associated with several image enhancement algorithms is implemented. …”
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  16. 16
    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan

    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan by Meisam , Gordan

    Published 2020
    “…The collected datasets were used as inputs for the DM process. In this research, a fault diagnosis methodology based on Cross Industry Standard Process for Data Mining (CRISP-DM) model was proposed for the purpose of damage detection. …”
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  17. 17
    Dense-cluster based voting approach for license plate identification

    Dense-cluster based voting approach for license plate identification by Asadzadehkaljahi, Maryam, Shivakumara, Palaiahnakote, Roy, Sangheeta, Olatunde, Mojeed Salmon, Anisi, Mohammad Hossein, Lu, Tong, Pal, Umapada

    Published 2018
    “…This paper presents a new method called Dense Cluster based Voting (DCV) for identifying an input license plate image as normal or taxi such that suitable recognition algorithms can be used to achieve better recognition rate. …”
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  18. 18
    Comparison of fully automated and semi-automated methods for species identification

    Comparison of fully automated and semi-automated methods for species identification by Kalafi, Elham Yousef, Anuar, M.K., Sakharkar, Meena Kishore, Dhillon, Sarinder Kaur

    Published 2018
    “…In order to assist taxonomists, many methods and algorithms have been proposed to develop semi-automated and fully automated systems for species identification. …”
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  19. 19
    Identification model for hearing loss symptoms using machine learning techniques

    Identification model for hearing loss symptoms using machine learning techniques by Nasiru Garba Noma

    Published 2014
    “…The model is implemented using both unsupervised and supervised machine learning techniques in the form of Frequent Pattern Growth (FP-Growth) algorithm as feature transformation method and multivariate Bernoulli naïve Bayes classification model as the classifier. …”
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  20. 20
    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
    “…Based on literature review, automated identification of tropical freshwater algae is even non-existent yet, and this study is designed to fill this gap.The development process of the automated freshwater algae detection system involves with many techniques and computer methods such as image preprocessing,segmentation, feature extraction, and classification process by using ANN. …”
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