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  1. 1
    Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques

    Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques by Ahmed Sabit, Hakilo

    Published 2006
    “…A high speed data acquisition card DAS1800HC is used to interface the sensors to a personal computer which processes the data using linear back projection algorithm (LBPA) and filtered back projection algorithm (FBPA). …”
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  2. 2
    Development of auto-tracking mobile robot

    Development of auto-tracking mobile robot by Ahmad Shahrizan, Abdul Ghani, Suresh, Sundarajoo

    Published 2018
    “…For an auto tracking device, the most crucial part of the system is the object identification and tracking of the moving targets. In order to improve the accuracy of identification of object in different illumination and background conditions, the implementation of HSI color model is used in image processing algorithm. …”
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  3. 3
    Improvement of Auto-Tracking Mobile Robot based on HSI Color Model

    Improvement of Auto-Tracking Mobile Robot based on HSI Color Model by Sundarajoo, Suresh, Ahmad Shahrizan, Abdul Ghani

    Published 2018
    “…For an auto tracking device, the most crucial part of the system is the object identification and tracking of the moving targets. In order to improve the accuracy of identification of object in different illumination and background conditions, the implementation of HSI color model is used in image processing algorithm. …”
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  4. 4
    Development of damage identification scheme using de-noised modal frequency response function data with artificial neural network / Mohamad Izzudin Hussein Shah

    Development of damage identification scheme using de-noised modal frequency response function data with artificial neural network / Mohamad Izzudin Hussein Shah by Mohamad Izzudin , Hussein Shah

    Published 2018
    “…This study also managed to minimize the number of sensors from nine (9) sensors to a single sensor with a performance accuracy of 100%. …”
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  5. 5
    Development of Attendance Management Algorithm for analyzing rate of absenteeism

    Development of Attendance Management Algorithm for analyzing rate of absenteeism by Tan Boon Tuck, Bachelor of Engineering Technology in Electronics

    Published 2014
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  6. 6
    A systematic literature review on outlier detection in wireless sensor networks

    A systematic literature review on outlier detection in wireless sensor networks by Safaei, Mahmood, Asadi, Shahla, Driss, Maha, Boulila, Wadii, Alsaeedi, Abdullah, Chizari, Hassan, Abdullah, Rusli, Safaei, Mitra

    Published 2020
    “…Therefore, an efficient local/distributed data processing algorithm is needed to ensure: (1) the extraction of precise and reliable values from noisy readings; (2) the detection of anomalies from data reported by sensors; and (3) the identification of outlier sensors in a WSN. …”
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  7. 7
    Self-calibration algorithm for a pressure sensor with a real-time approach based on an artificial neural network

    Self-calibration algorithm for a pressure sensor with a real-time approach based on an artificial neural network by M. Almassri, Ahmed M., Wan Hasan, Wan Zuha, Ahmad, Siti Anom, Shafie, Suhaidi, Wada, Chikamune, Horio, Keiichi

    Published 2018
    “…The traditional calibration process for this kind of sensor is a time-consuming task because it is usually done through manual and repetitive identification. …”
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  8. 8
    Widely linear dynamic quaternion valued least mean square algorithm for linear filtering

    Widely linear dynamic quaternion valued least mean square algorithm for linear filtering by Mohammed, Aldulaimi Haydar Imad

    Published 2017
    “…The new adaptive algorithm is called dynamic quaternion least mean square algorithm (DQLMS) because of the normalization process of the filter input and the variable step-size. …”
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  9. 9
    The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment

    The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment by Nanna Suryana, Herman

    Published 2007
    “…The hyperspectral image also offers unique applications such as terrain delimitations, object detection, material identification, and atmospheric characterization. However, hyperspectral image systems produce large data sets that are not easily interpretable by visual analysis and therefore require automated processing algorithm. …”
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  10. 10
    Singular value determination for IR-UWB radar sensor-based human motion detection

    Singular value determination for IR-UWB radar sensor-based human motion detection by Terence Jerome Daim, Razak Mohd Ali Lee

    Published 2021
    “…There is, therefore, a need for an output data processing algorithm that generates the required singular value. …”
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  11. 11
    Real time self-calibration algorithm of pressure sensor for robotic hand glove system

    Real time self-calibration algorithm of pressure sensor for robotic hand glove system by Almassri, Ahmed M. M.

    Published 2019
    “…The traditional calibration process for FlexiForce sensor used is a time-consuming task because it is usually done through manual and repetitive identification [1, 2]. …”
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  12. 12
    A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron

    A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron by Hossain, M.S., Ong, Z.C., Ismail, Z., Khoo, S.Y.

    Published 2017
    “…Impact force identification from response sensors is important especially when force measurement using force sensor is not possible due to the installation or dynamic characteristic altering problems. …”
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  13. 13
    Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Farid Misnan

    Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa... by Misnan, Mohamad Farid

    Published 2018
    “…The image scanning and identification process was implemented on lab scale artificial paddy plantation which is design to consist the features of junction and barrier edge. …”
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  14. 14
    Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Farid Misnan

    Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa... by Misnan, Mohamad Farid

    Published 2018
    “…The image scanning and identification process was implemented on lab scale artificial paddy plantation which is design to consist the features of junction and barrier edge. …”
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    Book Section
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  15. 15
    Foreign objects debris (FOD) identification: a cost effective investigation of FOD with less false alarm rate

    Foreign objects debris (FOD) identification: a cost effective investigation of FOD with less false alarm rate by Khan, Talha Ahmed, Alam, Muhammad, Kadir, Kushairy, Shahid, Zeeshan, Mohd Su'ud, Mazliham, Khan, Sheroz, Miqdad, Mohammad

    Published 2018
    “…To accomplish the task, we designed a prototype comprised of curtain sensor as primary transducer and an ultrasonic proximity sensor as a secondary transducer along with a camera with image processing algorithm. …”
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  16. 16
    Development of vehicle counting system by using background subtraction technique / Muhammad Fadhli Md Azemin

    Development of vehicle counting system by using background subtraction technique / Muhammad Fadhli Md Azemin by Md Azemin, Muhammad Fadhli

    Published 2018
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  17. 17
    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan

    Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan by Meisam , Gordan

    Published 2020
    “…The collected datasets were used as inputs for the DM process. In this research, a fault diagnosis methodology based on Cross Industry Standard Process for Data Mining (CRISP-DM) model was proposed for the purpose of damage detection. …”
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  18. 18
    Flow regime identification and concentration distribution of solid particles flow in pipelines using electrodynamic tomography and artificial neural networks

    Flow regime identification and concentration distribution of solid particles flow in pipelines using electrodynamic tomography and artificial neural networks by Rahmat, Mohd. Fuaad, Ahmed Sabit, Hakilo

    Published 2005
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  19. 19
    Flash floods prediction using real time data: an implementation of ANN-PSO with less false alarm

    Flash floods prediction using real time data: an implementation of ANN-PSO with less false alarm by Khan, Talha Ahmed, Shaikh, Faraz Ahmed, Khan, Sheroz, Abdul Kadir, Kushsairy, Mohd Su'ud, Mazliham, Shahid, Zeeshan, Yahya, Muhammad

    Published 2019
    “…Real-time data of over forty eight (48) hours has been collected from PIR, Ultrasonic sensor, Temperature sensor, CO2 sensor, Rainfall module, Pressure, and temperature sensor. …”
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  20. 20
    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
    “…These sensors are pre-processed and different feature sets such as time domain, frequency domain, wavelet transform are extracted and transform using machine learning algorithm for human activity classification and monitoring. …”
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