Search Results - (( program iris based algorithm ) OR ( java application path algorithm ))

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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
    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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  3. 3
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
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    Thesis
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  4. 4
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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    Final Year Project / Dissertation / Thesis
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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 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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  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 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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  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 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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  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, 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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  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, 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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  10. 10
    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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  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
    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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  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 Jiang, Anqi, Abdul Aziz, Faziawati, Ujang, Norsidah, Mohamed, Mohd Afzan

    Published 2025
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  14. 14
    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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  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 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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  16. 16
    Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri

    Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri by ‘Asri, Nur Nadia Syahirah

    Published 2017
    “…Furthermore, the system was developed using Fingerprint Matching Algorithm (FMA), Image Processing technique and embedded programming technique. …”
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