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  1. 1
    A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition

    A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition by Ayu, Media Anugerah, Ismail, Siti Aisyah, Abdul Matin, Ahmad Faridi, Mantoro, Teddy

    Published 2012
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  2. 2
    Optimization of ANPR algorithm on android mobile phone

    Optimization of ANPR algorithm on android mobile phone by Mutholib, Abdul, Gunawan, Teddy Surya, Chebil, Jalel, Kartiwi, Mira

    Published 2013
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  3. 3
    Development of a wearable human fall detection system

    Development of a wearable human fall detection system by Chua, Kean Hong, Sai, Siong Jun, Chan, Chi Yen, Kamsani, Noor Ain, Che Soh, Azura, Raja Ahmad, Raja Mohd Kamil

    Published 2022
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  4. 4
    Wearable based-sensor fall detection system using machine learning algorithm

    Wearable based-sensor fall detection system using machine learning algorithm by Ishak, Anis Nadia, Habaebi, Mohamed Hadi, Yusoff, Siti Hajar, Islam, Md. Rafiqul

    Published 2021
    “…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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  5. 5
    Objects tracking from natural features in mobile augmented reality

    Objects tracking from natural features in mobile augmented reality by Ng, Edmund Giap Weng, Rehman, Ullah Khan, Shahren, Ahmad Zaidi Adruce, Oon, Yin Bee

    Published 2013
    “…The pose matrix from extracted features was calculated by Homography. The adapted algorithm was tested in a mobile AR-prototype application using iPhone. …”
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  6. 6
    Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

    Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Al-Garadi, Mohammed Ali

    Published 2019
    “…Initially, one set of sensor data, features or classifiers were used for activity recognition applications. …”
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  7. 7
    Qiblah direction: An android application

    Qiblah direction: An android application by Sameon S.S., Salleh M.S.B.

    Published 2023
    “…The application will use three main Android APIs which are Android.hardware, Android.graphics and Android.view. …”
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  8. 8
    Performance study of the coexistence of Wireless Sensor Networks (WSN) and Wireless Local Area Networks (WLAN) / Muhammad Adib Haron … [et al.]

    Performance study of the coexistence of Wireless Sensor Networks (WSN) and Wireless Local Area Networks (WLAN) / Muhammad Adib Haron … [et al.] by Haron, Muhammad Adib, Jusoh, Mohamad Huzaimy, Abdul Aziz, Noor Hafizah, W. Muhamad, Wan Norsyafizan

    Published 2008
    “…To implement WSN integrated with cognitive radio techno 10gy, a new algorithm that provides access mechanism is needed to interactively working with sensor nodes hardware. …”
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  9. 9
    Gait identification using one-vs-one classifier model

    Gait identification using one-vs-one classifier model by Abdul Raziff, Abdul Rafiez, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran

    Published 2016
    “…One of the ways to capture gait signal is by using the accelerometer sensor in the smartphone. …”
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  10. 10
    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
    “…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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  11. 11
    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
    “…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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  12. 12
    Qualitative analysis on watermarking algorithm for large resolution camera phone image

    Qualitative analysis on watermarking algorithm for large resolution camera phone image by Saquib, Nazmus, Gunawan, Teddy Surya, Olanrewaju, Rashidah Funke, Islam, Shayla, Hasan, Mohammad Kamrul

    Published 2014
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  13. 13
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
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  14. 14
    Development of a New Modeling Circuit for the Remote Terminal Unit (RTU) with GSM Communication

    Development of a New Modeling Circuit for the Remote Terminal Unit (RTU) with GSM Communication by Ab Ghani, Mohd Ruddin, Wan Hassan, Wan Ahmas Redhauddin, Mat Hanafiah, Mohd Ariff, Raman, Siti Hajar

    Published 2013
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  15. 15
    The child tracker using location awareness / Muhammad Idham Amdan

    The child tracker using location awareness / Muhammad Idham Amdan by Amdan, Muhammad Idham

    Published 2017
    “…In this paper, the aim of proposed conceptual smartphone tracker framework is to provide mobile phone security and to locate ability of device in form of mobile application.…”
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  16. 16
    Development of mobile robot controlled by android phone via Bluetooth

    Development of mobile robot controlled by android phone via Bluetooth by Wan Idris Najaran, Wan Nur 'Amirah

    Published 2015
    “…The robot is controlled wirelessly using the Bluetooth feature which is present in all android smart phones. …”
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  17. 17
    Development of mobile robot controlled by android phone via Bluetooth: article

    Development of mobile robot controlled by android phone via Bluetooth: article by Wan Idris Najaran, Wan Nur 'Amirah

    Published 2015
    “…The robot is controlled wirelessly using the Bluetooth feature which is present in all android smart phones. …”
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  18. 18
    INVESTIGATION OF IMPROVED CHROMAMETRY MEASUREMENT ALGORITHM FOR PALM OIL FRESHNESS & SAFETY IDENTIFICATION USING MOBILE PHONE

    INVESTIGATION OF IMPROVED CHROMAMETRY MEASUREMENT ALGORITHM FOR PALM OIL FRESHNESS & SAFETY IDENTIFICATION USING MOBILE PHONE by ABDUL RAZAK, FARAH NABILLAH

    Published 2017
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    Final Year Project
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  19. 19
    Development of portable automatic number plate recognition system on android mobile phone

    Development of portable automatic number plate recognition system on android mobile phone by Mutholib, Abdul, Gunawan, Teddy Surya, Chebil, Jalel, Kartiwi, Mira

    Published 2013
    “…Both character segmentation and OCR are using Tesseract library from Google Inc. The proposed portable ANPR algorithm was implemented and simulated using Android SDK on a computer. …”
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  20. 20
    Development of portable automatic number plate recognition system on android mobile phone

    Development of portable automatic number plate recognition system on android mobile phone by Mutholib, Abdul, Gunawan, Teddy Surya, Chebil, Jalel, Kartiwi, Mira

    Published 2013
    “…Both character segmentation and OCR were using Tesseract library from Google Inc. The proposed portable ANPR algorithm was implemented and simulated using Android SDK on a computer. …”
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