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  1. 1
    The Effect Of Linkages In The Hierarchical Clustering Of Auto-Regressive Algorithm For Defect Identification In Heat Exchanger Tubes

    The Effect Of Linkages In The Hierarchical Clustering Of Auto-Regressive Algorithm For Defect Identification In Heat Exchanger Tubes by Abd Halim, Zakiah, Jamaludin, Nordin, Putra, Azma

    Published 2019
    “…Pattern recognition approach based on Auto-Regressive (AR) algorithm is an alternative way to provide a more accurate defect identification from stress wave propagated along ASTM A179 heat exchanger tubes. …”
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  2. 2
    Classification Analysis Of High Frequency Stress Wave For Autonomous Detection Of Defect In Steel Tubes

    Classification Analysis Of High Frequency Stress Wave For Autonomous Detection Of Defect In Steel Tubes by Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yahya, Syed Yusaini

    Published 2014
    “…Interpretation of propagated high frequency stress wave signals in steel tubes is noteworthy for defect identification.This paper demonstrated a successful new approach for autonomous defect detection in steel tubes using classification analysis of high frequency stress waves.Classification analysis using Principal Component Analysis (PCA) algorithm involved feature extraction to reduce the dimensionality of the complex stress waves propagation path.Two defective tubes containing a slot defect of different orientation and a reference tube are inspected using Vibration Impact Acoustic Emission (VIAE) technique.The tubes are externally excited using impact hammer.The variation of stress wave transmission path are captured by high frequency Acoustic Emission sensor.The propagated stress waves in the steel tubes are classified using PCA algorithm.Classification results are graphically illustrated using a dendrogram that demonstrated the arrangement of the natural clusters of the stress wave signals.The inspection of steel tubes showed good recognition of defect in circumferential and longitudinal orientation.This approach successfully classified stress wave signals from VIAE testing and provide fast and accurate defect identification of defective steel tubes from non-defective tubes. …”
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  3. 3
    A deterministic approach for finding the T onset parameter of flatten T wave in ECG

    A deterministic approach for finding the T onset parameter of flatten T wave in ECG by Iqbal, Uzair, Teh, Ying Wah, Rehman, Muhammad Habib Ur, Mastoi, Qurat-Ul-Ain

    Published 2019
    “…Identification of the exact nature of flatten T wave in ECG signal is Classification of normal and abnormal T wave episodes especially, regarding Flatten T wave in electrocardiography (ECG) signal is still a complex phenomenon for cardiologists. …”
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  4. 4
    Detection of tube defect using the autoregressive algorithm

    Detection of tube defect using the autoregressive algorithm by Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yusainee, Syed Yahya

    Published 2015
    “…Stress wave signals from four tubes with artificial defects of different depths and one reference tube were classified using the autoregressive (AR) algorithm. …”
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  5. 5
    Pattern Recognition Approach Of Stress Wave Propagation In Carbon Steel Tubes For Defect Detection

    Pattern Recognition Approach Of Stress Wave Propagation In Carbon Steel Tubes For Defect Detection by Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yusainee, Syed Yahya

    Published 2015
    “…The pattern recognition results showed that the AR algorithm is more effective in defect identification. …”
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  6. 6
    Seismic wave modeling and high-resolution imaging

    Seismic wave modeling and high-resolution imaging by Bashir, Y., Ghosh, D.P., Alashloo, S.Y.M.

    Published 2022
    “…The wave-modeling and imaging algorithm is implemented on two velocity models: the Marmousi model and the Sigsbee model. …”
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  7. 7
    Case Slicing Technique for Feature Selection

    Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

    Published 2004
    “…This technique with k = 10 has been used in this thesis to evaluate the proposed approach. CST was compared to other selected classification methods based on feature subset selection such as Induction of Decision Tree Algorithm (ID3), Base Learning Algorithm K-Nearest Nighbour Algorithm (k-NN) and NaYve Bay~sA lgorithm (NB). …”
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  8. 8
    On the spectra efficiency of low-complexity and resolution hybrid precoding and combining transceivers for mmWave MIMO systems

    On the spectra efficiency of low-complexity and resolution hybrid precoding and combining transceivers for mmWave MIMO systems by Uwaechia, Anthony Ngozichukwuka, Mahyuddin, Nor Muzlifah, Mohd Fadzil, Ain, Abdul) Latiff, Nurul Muazzah, Za'bah, Nor Farahidah

    Published 2019
    “…Specifically, LcHPC-SdMP algorithm revises the identification step of orthogonal matching pursuit (OMP) to the selection of multiple ‘‘correct’’ column indices of the matrix of array response vectors, per iteration. …”
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  9. 9
    EEG Different Frequency Sound Response Identification using Neural Network and Fuzzy Techniques

    EEG Different Frequency Sound Response Identification using Neural Network and Fuzzy Techniques by Wan Daud, Wan Mohd Bukhari, Sudirman , R, Koh, A. C, Safri, N.M, Mahmood, N.H

    Published 2010
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  10. 10
    A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning.

    A comparative study on ant-colony algorithm and genetic algorithm for mobile robot planning. by Rajendran, Piraviendran, Othman, Muhaini

    Published 2024
    “…In conclusion, the study successfully identifies key features in warehouses routing, implements ACO and GA algorithms, and evaluates the performance based on achieved routes and distance.…”
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  11. 11
    Nonlinear System Identification of Floating Structures Using Time-Varying ARX–Based Volterra Model

    Nonlinear System Identification of Floating Structures Using Time-Varying ARX–Based Volterra Model by Yazid, Edwar, Liew, M. S., Parman, Setyamartana, Kurian, V.J.

    Published 2014
    “…This method utilizes time series of measured wave heights as system input and surge motion as system output. …”
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    Citation Index Journal
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  12. 12
    Person identification in irregular cardiac conditions using electrocardiogram signals

    Person identification in irregular cardiac conditions using electrocardiogram signals by Sidek, Khairul Azami, Khalil, Ibrahim

    Published 2011
    “…This paper presents a person identification mechanism in irregular cardiac conditions using ECG signals. …”
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    Proceeding Paper
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  13. 13
    LCSS-Based Algorithm for Computing Multivariate Data Set Similarity: A Case Study of Real-Time WSN Data

    LCSS-Based Algorithm for Computing Multivariate Data Set Similarity: A Case Study of Real-Time WSN Data by Khan, Rahim, Ali, Ihsan, Altowaijri, Saleh, Zakarya, Muhammad, Rahman, Atiq Ur, Ahmedy, Ismail, Khan, Anwar, Gani, Abdullah

    Published 2019
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  14. 14
    T-way testing : a test case generator based on melody search algorithm

    T-way testing : a test case generator based on melody search algorithm by Toh, Shu Yuen

    Published 2015
    “…Next, TTT-MS will be executed through main algorithms to generate Parameters Interaction List, Parameter Values Interaction List, and finally generate final Test Cases based on Melody Search Algorithm. …”
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  15. 15
    Test Cases Minimization Strategy Based On Flower Pollination Algorithm

    Test Cases Minimization Strategy Based On Flower Pollination Algorithm by Ho, Chai Har, Al-Sewari, Abdul Rahman Ahmed Mohammed

    Published 2016
    “…This paper describes the adoption of Flower Pollination Algorithm (FPA) in order to minimize the test cases. …”
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  16. 16
    Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks

    Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks by Muftah, Shalghum Khaled

    Published 2022
    “…In the third part, the worst-case AVB latency under overlapping-based TT windows (AVB-OBTTW) algorithm is presented to examine the OFWOS effects on AVBlatency performance, where represents an AVB queue, i.e., { }. …”
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  17. 17
    Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World

    Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World by Nasser, Abdul B., Alsewari, Abdulrahman A., Mu’azu, Aminu A., Kamal Z., Zamli

    Published 2016
    “…In this paper, we present a comparison between two strategies, Harmony Search (HS) and Flower Pollination Algorithm (FPA) based strategies. Our experiments have performed on a real-world case study. …”
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  18. 18
    A novel hybrid evolutionary mating algorithm for Covid19 confirmed cases prediction based on vaccination

    A novel hybrid evolutionary mating algorithm for Covid19 confirmed cases prediction based on vaccination by Ahmed, Marzia, Ahmad Johari, Mohamad, Rahman, Mostafijur, Mohd Herwan, Sulaiman, Abul Kashem, Mohammod

    Published 2023
    “…As a result, developing robust mathematical models with small error margins for predictions is crucial. Based on these findings, a combined method of evaluating confirmed cases of COVID-19 with universal immunization is recommended. …”
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  19. 19
    Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach

    Automated QT interval measurement using modified Pan-Tompkins algorithm with independent isoelectric line approach by Jumahat, Shaliza, Gan, Kok Beng, Misran, Norbahiah, Islam, Mohammad Tariqul, Mahri, Nurhafizah, Ja'afar, Mohd. Hasni

    Published 2020
    “…Currently, studies on automated QT interval measurement algorithms are becoming a growing field, as they can provide the best solution to overcome misdiagnosis and timely issues resulting from manual identification. …”
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  20. 20
    Assessment of inter-and intra-audiologist agreements on Auditory Brainstem Response (ABR) waves interpretation and ABR variability

    Assessment of inter-and intra-audiologist agreements on Auditory Brainstem Response (ABR) waves interpretation and ABR variability by Dzulkarnain, Ahmad Aidil Arafat, Che Azid, Nor Diyana

    Published 2014
    “…Results: There was a high inter-audiologist ABR waveform identification agreement (over the range 81.71–89.77%), but a lower intra-audiologist ABR waveform identification agreement (over the range 50%–78%) for both audiologists. …”
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