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  1. 1
    Real-time measurement and gait detection algorithm for motion control of active ankle foot orthosis / Aminuddin Hamid

    Real-time measurement and gait detection algorithm for motion control of active ankle foot orthosis / Aminuddin Hamid by Hamid, Aminuddin

    Published 2015
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  2. 2
    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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  3. 3
    Classification of gait parameters in stroke with peripheral neuropathy (PN) by using k-Nearest Neighbors (kNN) algorithm / N. Anang ...[et al.]

    Classification of gait parameters in stroke with peripheral neuropathy (PN) by using k-Nearest Neighbors (kNN) algorithm / N. Anang ...[et al.] by Anang, N., Jailani, R., Mustafah, N., Manaf, H.

    Published 2018
    “…Additionally, all subjects must be able to walk freely without any cane or mechanical aid during walking. …”
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  4. 4
    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
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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  5. 5
    Framework for pedestrian walking behaviour recognition to minimize road accident

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
    “…Fourthly, four standard vectors for pedestrian walking behaviour are developed. Fifthly, the performance of the proposed classification methods is validated and evaluated against multiple scenarios and features. …”
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  6. 6
    Framework for pedestrian walking behaviour recognition to minimize road accident

    Framework for pedestrian walking behaviour recognition to minimize road accident by Hashim Kareem, Zahraa

    Published 2021
    “…Fourthly, four standard vectors for pedestrian walking behaviour are developed. Fifthly, the performance of the proposed classification methods is validated and evaluated against multiple scenarios and features. …”
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  7. 7
    3D solid robot animation design based on ADAMS

    3D solid robot animation design based on ADAMS by Baojian Yang, Yongning Deng, Xia Yue, Tze, Kenneth Kin Teo

    Published 2023
    “…It is of great significance to propose an efficient and improved inverse kinematics algorithm for the development of robotic bionics in China. …”
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  8. 8
    Obstacle avoidance legged robot

    Obstacle avoidance legged robot by Mohamed Faizan, Basheer Ahmad

    Published 2008
    “…A PIC Microcontroller has been implemented to act as a brain for the robot that controls the walking and turning algorithm. Ultrasonic sensor was also developed to act as an ‘eye’ to the system and tells the brain about existence of obstacle in front. …”
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  9. 9
    Conference Approval System (e-CoAS) / Nor Hidayah Rahim

    Conference Approval System (e-CoAS) / Nor Hidayah Rahim by Rahim, Nor Hidayah

    Published 2015
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  10. 10
    Development of Hexapod Robot with Manoeuvrable Wheel

    Development of Hexapod Robot with Manoeuvrable Wheel by mohd zamzuri, abdul rashid, Mohd Aras, Mohd Shahrieel, Anuar , Mohamed Kassim, Annisa , Jamali

    Published 2012
    “…The decisions for the robot to use either wheel or legs are based on the sensory devices and algorithm develops at the controller attached to the robot.…”
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  11. 11
    Automated pavement imaging program (APIP) for pavement cracks classification and quantification – a photogrammetric approach

    Automated pavement imaging program (APIP) for pavement cracks classification and quantification – a photogrammetric approach by Mustaffar, Mushairry, Puan, O. C., Ling, Tung Chai

    Published 2008
    “…This research is aimed at the development of an Automated Pavement Imaging Program (APIP) for evaluating pavement distress condition. …”
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    Conference or Workshop Item
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  12. 12
    Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique

    Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique by Ling, Tung Chai

    Published 2005
    “…This research is aimed at the development of an Automated Pavement Imaging Program (APIP) for evaluating pavement distress condition. …”
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  13. 13
    Development of Hexapod Robot with Manoeuvrable Wheel

    Development of Hexapod Robot with Manoeuvrable Wheel by Mohd Zamzuri, Ab Rashid, Mohd Shahrieel, Mohd Aras, A. A., Radzak, Anuar, Mohamed Kassim, Annisa, Jamali

    Published 2012
    “…The decisions for the robot to use either wheel or legs are based on the sensory devices and algorithm develops at the controller attached to the robot.…”
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  14. 14
    Anomaly gait detection in children with autism spectrum disorder based on markerless-model approach / Nur Khalidah Zakaria

    Anomaly gait detection in children with autism spectrum disorder based on markerless-model approach / Nur Khalidah Zakaria by Zakaria, Nur Khalidah

    Published 2020
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  15. 15
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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