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  1. 1
    Artificial immune system based on real valued negative selection algorithms for anomaly detection

    Artificial immune system based on real valued negative selection algorithms for anomaly detection by Khairi, Rihab Salah

    Published 2015
    “…The Real-Valued Negative Selection Algorithms, which are the focal point of this research, generate their detector sets based on the points of self data. …”
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  2. 2
    Damage visualization based on frequency shift of single-mode ultrasound-guided wavefield

    Damage visualization based on frequency shift of single-mode ultrasound-guided wavefield by Shahrim, Muhamad Azim, Harmin, Mohammad Yazdi, Romli, Fairuz Izzuddin, Chia, Chen Ciang, Jung-Ryul, Lee

    Published 2022
    “…Ultrasonic wavefield inspection has been available for a while and it is a great method for damage detection. However, the challenge lies in the complexity of the algorithm for mode isolation. …”
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  3. 3
    MotionSure: a cloud-based algorithm for detection of injected object in data in motion

    MotionSure: a cloud-based algorithm for detection of injected object in data in motion by Islam, Thouhedul, Olanrewaju, Rashidah Funke, Khalifa, Othman Omran

    Published 2017
    “…Two encryption functions in PHP has been used for detecting injected object; bcrypt methods in Laravel and MD5 that generate 32 random keys. …”
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    Proceeding Paper
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  4. 4
    Extremal region detection and selection with fuzzy encoding for food recognition

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…The performance of algorithms was measured based on classification accuracy, error rate, and precision and recall. …”
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  5. 5
    DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION

    DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION by JOLENE DIANDRA, JAMES

    Published 2018
    “…Lastly, it is compared with other published stiction detection methods, where it performs as efficient and even better than other methods.…”
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    Final Year Project Report / IMRAD
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  6. 6
    Fault detection and diagnosis for gas density monitoring using multivariate statistical process control

    Fault detection and diagnosis for gas density monitoring using multivariate statistical process control by Norul Shahida, Che Din, Noor Asma Fazli, Abdul Samad, Chin, Sim Yee

    Published 2011
    “…Results show that method based on PCA and PCorrA was able to detect the pre-designed faults successfully and identify variables which cause the faults.…”
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  7. 7
    Optimized differential evolution algorithm for linear frequency modulation radar signal denoising

    Optimized differential evolution algorithm for linear frequency modulation radar signal denoising by Al-Dabbagh, Mohanad Dawood Hasan

    Published 2013
    “…We propose an optimized crossover scheme that changes the crossover operation from being fixed-length to random-length, which has been designed to fit for the proposed variable length DE. We refer to the new DE algorithm as random variable length crossover DE (rvlx- DE) algorithm. …”
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  8. 8
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…This improved algorithm, known as the edge-template Contour Delineation (etCD), is based on the fusion of edge detection with corner-template detection and dynamic thresholding to produce enhanced edge map. …”
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  9. 9
    Fault detection and diagnosis using correlation coefficients

    Fault detection and diagnosis using correlation coefficients by Mak, Weng Yee

    Published 2005
    “…Results show that the method based on PCorrA (overall FDD efficiency = 100%) is more superior than the method based on NC (overall FDD efficiency = 67.82%) and the two analysis methods based on PCA (overall FDD efficiency = 67.82%).…”
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  10. 10
    Fault detection and diagnosis using rule-based support system on fatty acid fractionation column

    Fault detection and diagnosis using rule-based support system on fatty acid fractionation column by Yann, H. H., Ali, Mohamad Wijayanuddin, Kamsah, Mohd Zaki

    Published 2003
    “…Process history based methods (rule-based feature extraction) is used to implement the FDD rule-based support system. …”
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  11. 11
    A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines

    A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines by Tahan, M., Muhammad, M., Abdul Karim, Z.A.

    Published 2017
    “…When a robust mathematical model of a process equipment is available, model-based diagnostic methods can be used to identify the occurrence of faults in a system. …”
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  12. 12
    Vibration analysis for early detection of bearing failures

    Vibration analysis for early detection of bearing failures by Gam, Kheng Shiang

    Published 2024
    “…In summary, the combination of RMS acceleration and kurtosis is proposed as a reliable method for identifying bearing faults.…”
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    Final Year Project / Dissertation / Thesis
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  13. 13
    Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke

    Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke by Henry Friday , Nweke

    Published 2019
    “…In addition, human activity detection methods have wide applications in security, surveillance and postural detection to prevent falls in elderly. …”
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  14. 14
    Improvement on rooftop classification of worldview-3 imagery using object-based image analysis

    Improvement on rooftop classification of worldview-3 imagery using object-based image analysis by Norman, Masayu

    Published 2019
    “…The optimal scale, shape and compactness parameters of multi-resolution segmentation have been determined and the detection accuracy was evaluated based on receiver operating characteristics (ROC). …”
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  15. 15
    A peer-to-peer blockchain based interconnected power system

    A peer-to-peer blockchain based interconnected power system by Ahmed, Musse Mohamud, Mohammad Kamrul, Hasan, Muhammad, Shafiq, Md Ohirul, Qays, Gadekallu, Thippa Reddy, Nebhen, Jamel, Shayla, Islam

    Published 2021
    “…It describes the simulation analysis and reduction of harmonics detection in a peer-to-peer interconnected 3-phase power system with the help of an FFT algorithm. …”
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  16. 16
    Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine

    Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine by Molla Salilew, W., Ambri Abdul Karim, Z., Alemu Lemma, T.

    Published 2022
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  17. 17
    Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine

    Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine by Molla Salilew, W., Ambri Abdul Karim, Z., Alemu Lemma, T.

    Published 2022
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  18. 18
    Numerical Analysis of structural batteries response with the presence of uncertainty

    Numerical Analysis of structural batteries response with the presence of uncertainty by Syahiir Kamil, Ahmad Kamal Ariffin, Abdul Hadi Azman, Mohamad Syazwan Zafwan Mohamad Suffian

    Published 2023
    “…To help with the analysis, a dedicated algorithm based on an elimination approach to solve numerical problems with uncertain parameters is successfully developed using Visual Basic. …”
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  19. 19
    Modeling of cupping suction system based on system identification method

    Modeling of cupping suction system based on system identification method by Kavindran, Suresh

    Published 2022
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    Undergraduates Project Papers
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  20. 20
    Improved robust estimator and clustering procedures for multivariate outliers detection

    Improved robust estimator and clustering procedures for multivariate outliers detection by Sharifah Sakinah, Syed Abd Mutalib

    Published 2023
    “…One of the methods to detect outliers in multivariate data is by using distance-based methods, which is Mahalanobis distance (MD). …”
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