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  1. 1
    Classification System for Heart Disease Using Bayesian Classifier

    Classification System for Heart Disease Using Bayesian Classifier by Magendram, Anusha

    Published 2007
    “…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. …”
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  2. 2
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. …”
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  3. 3
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…So, the integration of Artificial Neural Network (ANN) with an Expert System for material classification was explored. The computational tool, Matlab was proposed for classification with Levenberg-Marquardt training algorithm, which provided faster rate of convergence for feed forward network. …”
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  4. 4
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…Studies have shown how user perception can have a strong influence on policies and decision-making processes in a place, society, and nation. This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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  5. 5
    BRAIN ACTIVITIES FOR MOTOR MOVEMENT

    BRAIN ACTIVITIES FOR MOTOR MOVEMENT by ., WAFAA ELSAYED ELBASTY

    Published 2012
    “…The EEG signals classification is divided into 2 parts which includes feature extraction and feature classification. Multivariate adaptive auto regressive (MVAAR) method is used in the feature extraction part because it is suitable for motor imaginary. …”
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    Final Year Project
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  6. 6
    Brain Machine Interface Controlled Robot Chair

    Brain Machine Interface Controlled Robot Chair by Hema Chengalvarayan, Radhakrishnamurthy

    Published 2010
    “…The BMI controls the joystick of the robot chair using a shared control algorithm. Real-time experiments are also presented using 10 trained and 5 untrained subjects to validate the applicability of the brain machine interface. …”
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  7. 7
    Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi

    Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi by Ramzi, Nurul Syazwani

    Published 2017
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  8. 8
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
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    Final Year Project / Dissertation / Thesis
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  9. 9
    Affective computation on EEG correlates of emotion from musical and vocal stimuli

    Affective computation on EEG correlates of emotion from musical and vocal stimuli by Khosrowabadi, Reza, Abdul Rahman, Abdul Wahab, Ang, Kai Keng, H Baniasad, Mohammad.

    Published 2009
    “…A classification algorithm is subsequently used to learn and classify the extracted EEG features. …”
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    Proceeding Paper
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  10. 10
    Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin

    Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin by Nasaruddin, Nor Intan Shafini

    Published 2012
    “…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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  11. 11
    Peripheral interface controller-based maximum power point tracking algorithm for photovoltaic DC to DC boost controller

    Peripheral interface controller-based maximum power point tracking algorithm for photovoltaic DC to DC boost controller by Z. A. Ghani, E. Onn, M. Y. Zeain, Apriana Toding, F. A. Azidin, H. Othman, Z. Zakaria, Herwnsyah bin Lago

    Published 2020
    “…It can be accomplished by using the MPPT algorithm designed with a DC-DC boost converter. …”
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  12. 12
    Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks

    Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesa Pandiyan, Assoc. Prof., Nagarajan, Ramachandran, Prof. Dr., Sazali, Yaacob, Prof. Dr., Abdul Hamid, Adom, Prof. Madya

    Published 2011
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  13. 13
    Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks

    Brain machine interface: classification of mental tasks using short-time PCA and recurrent neural networks by Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesapandian, Sazali, Yaacob, Abd Hamid, Adom, Ramachandran, Nagarajan

    Published 2009
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    Working Paper
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  14. 14
    EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces

    EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces by Paulraj, Murugesapandian, Hema, Chengalvarayan Radhakrishnamurthy, Ramachandran, Nagarajan, Sazali, Yaacob, Abdul Hamid, Adom

    Published 2009
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  15. 15
    Brain machine interfaces: recognition of mental tasks using neural networks and PSO learning algorithms / Hema C.R. ...[et al.]

    Brain machine interfaces: recognition of mental tasks using neural networks and PSO learning algorithms / Hema C.R. ...[et al.] by C.R., Hema, M.P., Paulraj, Yaacob, S., Adom, A.H., R., Nagarajan

    Published 2009
    “…Two neural network architectures using a novel particle swarm optimization (PSO) learning algorithm is studied. …”
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  16. 16
    Multivariate EEG signal processing techniques for the aid of severely disabled people

    Multivariate EEG signal processing techniques for the aid of severely disabled people by Ibrahimy, Muhammad Ibn, Ibrahimy, Ahmad Ibn

    Published 2022
    “…However, the performance of Brain Computer Interface (BCI) using EEG signal is still below enough to assist any disabled people. …”
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  17. 17
    Development of interactive application for classification of Artocarpus Species

    Development of interactive application for classification of Artocarpus Species by Abdul Ghapar, Nadia

    Published 2020
    “…The combination of Prewitt algorithm, Canny alogorithm, Gray-Level co-occurrence matrix will be used in SVM. …”
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    Undergraduate Final Project Report
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  18. 18
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. …”
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    Monograph
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  19. 19
    Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms

    Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms by Bakar, Abubakar Diwani

    Published 2016
    “…The study proposes the use of software metric thresholds in the classification process during the GA representation. …”
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  20. 20
    EEG-Based Brain-Machine Interface (BMI) for Controlling Mobile Robots: The Trend of Prior Studies

    EEG-Based Brain-Machine Interface (BMI) for Controlling Mobile Robots: The Trend of Prior Studies by Murali Krishnan, Muralindran Mariappan

    Published 2015
    “…In this paper, we review the background, feature extraction and classification algorithms used to design the Electroencephalography (EEG) based Brain-Machine Interface (BMI) to control the mobile robots.…”
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