Search Results - (( java application stemming algorithm ) OR ( wave identification method algorithm ))

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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 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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    Article
  2. 2

    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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    Article
  3. 3

    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
  4. 4

    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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    Book
  5. 5

    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
    “…However, the physiological variability of the QRS complex and the fluctuation of the isoelectric line are prevalent issues that need to be considered in the automatic method. In this report, an algorithm to identify the QRS onset and T-wave offset for measuring the corrected QT interval (QTc) is proposed. …”
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    Article
  6. 6

    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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    Article
  7. 7

    Use of level specific ce-chirp auditory brainstem response with high rates and objective algorithm in infants population by Chahed, Norashikin, Dzulkarnain, Ahmad Aidil Arafat, Jamaluddin, Saiful Adli

    Published 2021
    “…It is hypothesized that the ABR to LS CE Chirp combined with a high stimulus repetition rate and the objective algorithm will have a shorter test-time, larger amplitudes, and lower ABR threshold than the ABR to click stimulus, low stimulus repetition rate and wave identification using visual detection. …”
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    Proceeding Paper
  8. 8

    ECG biometric verification incorporating different physiological conditions by Mohd Azam, Siti Nurfarah Ain, Sidek, Khairul Azami, Dafhalla, Alaa Kamal Yousif

    Published 2025
    “…In average, Gaussian SVM gives highest precision when compared to other type of SVM classifiers suggesting that Gaussian SVM is the most appropriate to be applied for person identification. Thus, the proposed method proves that biometric recognition can be performed regardless of different physiological conditions and can be applied in real life scenarios.…”
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    Article
  9. 9

    An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates by Z. M., Hafizi, Epaarachchi, J., Lau, K. T.

    Published 2013
    “…This paper details the outcomes of the signal energy attenuation method with an improved algorithm for progressive failure monitoring in fiberglass reinforced composite laminates and the 'effective length' for better AE detection.…”
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    Article
  10. 10

    Development of fish cupula inspired multi-fluidic sensor for liquid slosh detection by Ahmad, Mohd Ashraf, Musa, Zulkifli, Zawawi, Mohd Anwar, Mohd Falfazli, Mat Jusof, Mohd Rashid, Muhammad Ikram, Suid, Mohd Helmi, Zaharuddin, Mohamed

    “…On the other hand, this study also develops the dynamic model of the liquid slosh based on the liquid slosh data from the proposed sensor. Here, the identification of liquid slosh using the Hammerstein model based on Sine Cosine Algorithm (SCA). …”
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    Research Report
  11. 11
  12. 12

    Development of an automated detector and counter for bagworm census by Ahmad, Mohd Najib

    Published 2020
    “…Then, the experiment on identification of bagworm under thermal imaging is conducted using a thermal infrared camera, T 440 at different sites. …”
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    Thesis
  13. 13

    Signal to noise ratio as a guideline to obtain valid auditory brainstem response results by Dzulkarnain, Ahmad Aidil Arafat

    Published 2020
    “…This may lead to false identification and misdiagnosis of ABRs among the clinician. …”
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    Article