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  1. 1
    Detecting cholesterol presence using iris recognition algorithm

    Detecting cholesterol presence using iris recognition algorithm by R. A., Ramlee

    Published 2010
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  2. 2
    Performance evaluation of real-time multiprocessor scheduling algorithms

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
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  3. 3
    The development of an automated pattern recognition based on neural network / Irni Hamiza Hamzah, Mohammad Nizam Ibrahim and Linda Mohd Kasim

    The development of an automated pattern recognition based on neural network / Irni Hamiza Hamzah, Mohammad Nizam Ibrahim and Linda Mohd Kasim by Hamzah, Irni Hamiza, Ibrahim, Mohammad Nizam, Mohd Kasim, Linda

    Published 2006
    “…Based on this idea, the objective of this project is to develop an automated pattern recognition system based on neural network to recognize the pattern of loaded data file. …”
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  4. 4
    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by ZUBAIR ADEL SOOMRO, ZUBAIR ADEL SOOMRO, SHAMSUDIN, ABU UBAIDAH, ABD RAHIM, RUZAIRI, ANDI ADRIANSHAH, ANDI ADRIANSHAH, MOHD HAZELI, MOHD HAZELI

    Published 2023
    “…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. Meanwhile, the iris tracking and eye blinking use a mathematical model. …”
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  5. 5
    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADIL, SHAMSUDIN, ABU UBAIDAH, ABD RAHIM, RUZAIRI, ADRIANS, ANDI, HAZELI, MOHD

    Published 2023
    “…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. Meanwhile, the iris tracking and eye blinking use a mathematical model. …”
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  6. 6
    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABD HALIM, RUZAIR1, ADRIAN, ANDI, HAZELI, MOHD

    Published 2023
    “…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. Meanwhile, the iris tracking and eye blinking use a mathematical model. …”
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  7. 7
    Non-Verbal Human-Robot Interaction Using Neural Network for The Application of Service Robot

    Non-Verbal Human-Robot Interaction Using Neural Network for The Application of Service Robot by Soomro, Zubair Adil, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Adrianshah, Andi, Hazeli, Mohd

    Published 2023
    “…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. Meanwhile, the iris tracking and eye blinking use a mathematical model. …”
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  8. 8
    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZIJBAIR ADEL, SHANISUDIN, ABU UBAIDAH, Abdul Rahim, Ruzairi, Adrianshah, Andi, Hazeli, Mohd

    Published 2023
    “…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. Meanwhile, the iris tracking and eye blinking use a mathematical model. …”
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  9. 9
    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABDUL RAHIM, RUZAIRI, ADRIANSHAH, ANDI, MOHD HAZELI, MOHD HAZELI

    Published 2023
    “…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. Meanwhile, the iris tracking and eye blinking use a mathematical model. …”
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  10. 10
    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application

    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application by Yana Aditia, Gerhana, Nur, Lukman, Arief Fatchul, Huda, Cecep Nurul, Alam, Undang, Syaripudin, Devi, Novitasari

    Published 2020
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  11. 11
    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABDUL RAHIM, RUZAIRI, ANDI ADRIANSHAH, ANDI ADRIANSHAH, MOHD HAZELI, MOHD HAZELI

    Published 2023
    “…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. Meanwhile, the iris tracking and eye blinking use a mathematical model. …”
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  12. 12
    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
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  13. 13
    Urban connected vehicle lane planning based on improved Frank Wolfe algorithm

    Urban connected vehicle lane planning based on improved Frank Wolfe algorithm by Anqi, Jiang, Faziawati, Abdul Aziz, Norsidah, Ujang, Mohd Afzan, Mohamed

    Published 2025
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  14. 14
    Urban connected vehicle lane planning based on improved Frank Wolfe algorithm

    Urban connected vehicle lane planning based on improved Frank Wolfe algorithm by Jiang, Anqi, Abdul Aziz, Faziawati, Ujang, Norsidah, Mohamed, Mohd Afzan

    Published 2025
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  15. 15
    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADIL, SHAMSUDIN, ABU UBAIDAH, ABDUl RAHIM, RUZAIRI, ADRIAN, ANDI, HAZELI, MOHD

    Published 2023
    “…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. Meanwhile, the iris tracking and eye blinking use a mathematical model. …”
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  16. 16
    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT

    NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by ADEL SOOMP, ZIJBAIR, SHANISUDIN, ABU UBAIDAH, NT ABD, RUZAIR, DRIAN, RAHEVI AMA, MOIED HALELI, AH

    Published 2023
    “…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. Meanwhile, the iris tracking and eye blinking use a mathematical model. …”
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  17. 17
    Parallel computing via message passing: comparison between Microsoft MPI and Klyng framework / Nik Nasrul Faiz Nik Yahaya

    Parallel computing via message passing: comparison between Microsoft MPI and Klyng framework / Nik Nasrul Faiz Nik Yahaya by Nik Yahaya, Nik Nasrul Faiz

    Published 2017
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  18. 18
    Fitness value based evolution algorithm approach for text steganalysis model

    Fitness value based evolution algorithm approach for text steganalysis model by Din, Roshidi, Samsudin, Azman, Tuan Muda, Tuan Zalizam, Lertkrai, P., Amphawan, Angela, Omar, Mohd Nizam

    Published 2013
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  19. 19
    Parallel distributed genetic algorithm development based on microcontrollers framework

    Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

    Published 2023
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  20. 20
    Digitally signed electronic certificate for workshop / Azinuddin Baharum

    Digitally signed electronic certificate for workshop / Azinuddin Baharum by Baharum, Azinuddin

    Published 2017
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    Thesis
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