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  1. 1
    Object detection system using haar-classifier

    Object detection system using haar-classifier by Wan Najwa, Wan Ismail

    Published 2009
    “…Haar-classifier is utilized as the algorithms for this object detection system. …”
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    Undergraduates Project Papers
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  2. 2
    Utilization of canny and velocity bunching algorithms for modelling shoreline change

    Utilization of canny and velocity bunching algorithms for modelling shoreline change by Marghany, Maged, Hashim, Mazlan

    Published 2006
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    Conference or Workshop Item
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  3. 3
    Performance evaluation for different intrusion detection system algorithms using machine learning

    Performance evaluation for different intrusion detection system algorithms using machine learning by Zarir, Mustafa Nadhim

    Published 2018
    “…The objectives of this project is to evaluate the performance of various intrusion detection algorithms based on machine learning. The algorithms considered are the Naive Bays Algorithm, Decision Tree Algorithm and Hybrid Algorithm for different datasets. …”
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  4. 4
    Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus

    Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus by Ibrahimy, Muhammad Ibn

    Published 2018
    “…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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  5. 5
    Detection of black hole nodes in mobile ad hoc network using hybrid trustworthiness and energy consumption techniques

    Detection of black hole nodes in mobile ad hoc network using hybrid trustworthiness and energy consumption techniques by Mustafa, Ahmed Sudad

    Published 2017
    “…On the other hand, the detection algorithm based on the energy consumption achieves PDR of 91.6%, EED of 14.03 ms and detection rate accuracy of 93%. …”
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  6. 6
    Analysis of artificial neural network and viola-jones algorithm based moving object detection

    Analysis of artificial neural network and viola-jones algorithm based moving object detection by Rashidan, M. Ariff, Mohd Mustafah, Yasir, Zainal Abidin, Zulkifli, Zainuddin, N. Afiqah, A. Aziz, Nor Nadirah

    Published 2014
    “…The algorithms have been tested on simulated events, and the more suitable algorithm with high detection rate is expected to be presented in this paper.…”
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  7. 7
    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus

    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus by Ibrahimy, Muhammad Ibn

    Published 2017
    “…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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    Proceeding Paper
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  8. 8
    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus

    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus by Ibrahimy, Muhammad Ibn

    Published 2018
    “…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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  9. 9
    Improved Switching-Basedmedian Filter For Impulse Noise Removal

    Improved Switching-Basedmedian Filter For Impulse Noise Removal by Teoh, Sin Hoong

    Published 2013
    “…Next, in the noise detection stage, in addition to the originally proposed intensity distance differential approach, the new method includes intensity height differential approach to reduce false detection rate. …”
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  10. 10
    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus

    Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus by Ibrahimy, Muhammad Ibn

    Published 2017
    “…The performance of the algorithm has been evaluated of the heart rates tracing processed from the abdominal signals. …”
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  11. 11
    An FPGA based embedded vision system for real-time motion detection

    An FPGA based embedded vision system for real-time motion detection by AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw

    Published 2015
    “…This results in a Gaussian Pyramid down sampling multi model sigma delta algorithm that gives low false detection error and good performance. …”
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  12. 12
    Reducing false alarm using hybrid Intrusion Detection based on X-Means clustering and Random Forest classification

    Reducing false alarm using hybrid Intrusion Detection based on X-Means clustering and Random Forest classification by Juma, Sundus, Muda, Zaiton, Yassin, Warusia

    Published 2014
    “…Anomaly-based intrusion detection techniques, that utilize algorithms of machine learning, have the capability to recognize unpredicted malicious. …”
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  13. 13
    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation

    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud

    Published 2019
    “…Results show that the proposed method is able to detect islanding conditions with 100% accuracy, 100% detection rate and 0% false alarm with detection time of less than 0.19s. …”
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  14. 14
    A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi

    A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi by Somayeh, Sadeghi

    Published 2015
    “…Furthermore, the detection rate of the algorithm is improved by utilizing the proposed clustering procedure. …”
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  15. 15
    Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals

    Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals by Ahmed, Ahmed Elsayed Elmahdy

    Published 2014
    “…This project aims at developing an automated epileptic seizure event detection algorithm. The proposed algorithm depends on using five features which are singular values, total power, delta band power, variance and mean. …”
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    Final Year Project
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  16. 16
    Feature-based face recognition system using utilized artificial neural network

    Feature-based face recognition system using utilized artificial neural network by Chai, Tong Yuen

    Published 2010
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  17. 17
    Detecting Remote-To-Local (R2L) attack using Decision Tree algorithm / Ahmad Nasreen Aqmal Mohd Nordin

    Detecting Remote-To-Local (R2L) attack using Decision Tree algorithm / Ahmad Nasreen Aqmal Mohd Nordin by Mohd Nordin, Ahmad Nasreen Aqmal

    Published 2024
    “…The project successfully achieves its predetermined objectives, culminating in the development of an effective Remote to Local (R2L) Intrusion Detection System utilizing the Decision Tree algorithm. …”
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  18. 18
    Breast boundary segmentation in thermography images based on random walkers

    Breast boundary segmentation in thermography images based on random walkers by Moghbel, Mehrdad, Mashohor, Syamsiah, Mahmud, Rozi, Saripan, M. Iqbal, Ab. Hamid, Suzana, Mohamad Saini, Suraini, Abdul Rashid, Saiful Nizam

    Published 2017
    “…The detected areola region is then utilized for automatic seed placement for the random walker algorithm. …”
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  19. 19
    Multi-sensor fusion based on multiple classifier systems for human activity identification

    Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

    Published 2019
    “…The aim of this study is to propose an innovative multi-sensor fusion framework to improve human activity detection performances and reduce misrecognition rate. …”
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  20. 20
    Rule based signal processing for ambulatory fetal monitoring

    Rule based signal processing for ambulatory fetal monitoring by Mohd Ali, Mohd Alauddin, Ibrahimy, Muhammad Ibn, Zahedi, Admond

    Published 2004
    “…Eighteen volunteers at various weeks of gestation were studied for the fetal heart rate detection. The computation complexity is such that the developed algorithm can extract both maternal and fetal heart rates in real-time utilizing a single-lead configuration. …”
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