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  1. 1
    Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe

    Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe by Kennie Yeoh , Eng Hoe

    Published 2001
    “…Alternatively, patch-matching algorithm was developed in success of the Fourier Transform method when results -were not favorable to it. …”
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  2. 2
    Autoreclosure in Extra High Voltage Lines using Taguchi’s Method and Optimized Neural Networks

    Autoreclosure in Extra High Voltage Lines using Taguchi’s Method and Optimized Neural Networks by Desta, Zahlay F., K.S., Ramarao, Taj, Mohammed Baloch

    Published 2008
    “…The algorithms are developed using MATLABTM software. A range of faults are simulated on EHV modeled transmission line using SimPowerSytemsTM, and the spectra of the fault data are analyzed using fast Fourier transform which facilitates extraction of distinct features of each type of fault. …”
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  3. 3
    Autoreclosure in Extra High Voltage Lines using Taguchi's Method and Optimized Neural Networks

    Autoreclosure in Extra High Voltage Lines using Taguchi's Method and Optimized Neural Networks by Desta, Zahlay F., K.S., Rama Rao

    Published 2009
    “…The algorithms are developed using MATLAB software. A range of faults are simulated on EHV modeled transmission line using SimPowerSytems, and the spectra of the fault data are analyzed using fast Fourier transform to extract features of each type of fault. …”
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  4. 4
    An improved split-stepwavelet transform method for anomalous radiowave propagation modeling

    An improved split-stepwavelet transform method for anomalous radiowave propagation modeling by Iqbal, A., Jeoti, V.

    Published 2014
    “…A large number of numerical experiments are carried out to validate the performance of the proposed algorithm. Developed algorithm is compared with previously published techniques; Wavelet Galerkin Method (WGM) and Split-Step Fourier transform Method (SSFM). …”
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  5. 5
    Accurate Real Time Detection For Halal Logo Based On Fourier Magnitude Method

    Accurate Real Time Detection For Halal Logo Based On Fourier Magnitude Method by Ismail, Nurul Atiqah

    Published 2016
    “…So in the last stage, a novel logo recognition method based on Fourier magnitudes and k-nearest neighbor classifier is developed to recognize all 50 Halal logos that approved by JAKIM. …”
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  6. 6
    Taguchi's method for optimized neural network based autoreclosure in extra high voltage lines

    Taguchi's method for optimized neural network based autoreclosure in extra high voltage lines by K.S.R., Rao, Z.F., Desta

    Published 2008
    “…The algorithms are developed using MATLABTM software. A range of faults are simulated using SimPowerSytemsTM and the spectra of the fault data are analyzed using Fast Fourier Transform which facilitates extraction of distinct features of each fault type. …”
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  7. 7
    Autoreclosure in extra high voltage lines using taguchi's method and optimized neural networks

    Autoreclosure in extra high voltage lines using taguchi's method and optimized neural networks by K.S.R, Rao, F. D., Zahlay

    Published 2008
    “…The algorithms are developed using MATLABâ„¢ software. A range of faults are simulated on EHV modeled transmission line using SimPowerSytemsâ„¢, and the spectra of the fault data are analyzed using fast Fourier transform which facilitates extraction of distinct features of each type of fault. …”
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  8. 8
    Applications of wavelet method in stock exchange problem

    Applications of wavelet method in stock exchange problem by Samsul Ariffin Abdul Karim, Bakri Abdul Karim, Mohd Tahir Ismail, Mohammad Khatim Hasan, Jumat Sulaiman

    Published 2011
    “…One of wavelet advantages as compared to Fourier is, it has fast algorithm to evaluate the series expansion. …”
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  9. 9
    Applications of Wavelet Method in Stock Exchange Problem

    Applications of Wavelet Method in Stock Exchange Problem by ABDUL KARIM, SAMSUL ARIFFIN, ABDUL KARIM, BAKRI, ISMAIL, M TAHIR, HASAN, M KHATIM, SULAIMAN, JUMAT

    Published 2010
    “…One of wavelet advantages as compared to Fourier is, it has fast algorithm to evaluate the series expansion. …”
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  10. 10
    Development of doppler shift algorithm for modelling sea surface current movements from radar remote sensing data

    Development of doppler shift algorithm for modelling sea surface current movements from radar remote sensing data by Marghany, Maged Mahmoud

    Published 2008
    “…This study concludes that Doppler spectra model is appropriate method to compute sea surface current in the RADARSAT-1 SAR data. …”
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  11. 11
    Development of EEG-based epileptic detection using artificial neural network

    Development of EEG-based epileptic detection using artificial neural network by Azian Azamimi, Abdullah, Saufiah, Abdul Rahim, Adira, Ibrahim

    Published 2012
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  12. 12
    Computation of Maass Cusp Forms on Singly Punctured Two-Torus and Triply Punctured Two-Sphere Using Mathematica

    Computation of Maass Cusp Forms on Singly Punctured Two-Torus and Triply Punctured Two-Sphere Using Mathematica by Mohamed Siddig, Abubaker Ahmed

    Published 2009
    “…This work focuses on the discrete part of computational nature. Hejhal developed an algorithm to compute Maass cusp form on triangle groups. …”
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  13. 13
    Development of a detection and classification method for induction motor faults using Motor Current Signature Analysis and Feedforward Neural Network / Felicity Bulan Leo Uchat

    Development of a detection and classification method for induction motor faults using Motor Current Signature Analysis and Feedforward Neural Network / Felicity Bulan Leo Uchat by Leo Uchat, Felicity Bulan

    Published 2016
    “…In this thesis, a predictive maintenance method for the development of adetection and classification method for comprehensive fault conditions in induction motors (IM) is proposed. …”
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  14. 14
    Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain

    Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain by Hakim M., Omran A.A.B., Inayat-Hussain J.I., Ahmed A.N., Abdellatef H., Abdellatif A., Gheni H.M.

    Published 2023
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  15. 15
    Structural steel plate damage detection using DFT spectral energy and artificial neural network

    Structural steel plate damage detection using DFT spectral energy and artificial neural network by Paulraj, Murugesa Pandiyan, Prof. Madya Dr., Mohd Shukri, Abdul Majid, Sazali, Yaacob, Prof. Dr., Abdul Hamid, Adom, Prof. Madya Dr., Krishnan, Pranesh R.

    Published 2011
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  16. 16
    SIMULATION AND ANALYSIS OF HARMONIC DETECTION AND MITIGATION SYSTEM USING ACTIVE FILTER

    SIMULATION AND ANALYSIS OF HARMONIC DETECTION AND MITIGATION SYSTEM USING ACTIVE FILTER by MIZA, BELIA

    Published 2019
    “…The main objective for this study is to analyse the harmonics components in AC power system using Fast Fourier Transforms (FFT) algorithm. Other than that, the objective is also to design and develop the harmonic detection system for power quality of AC power system. …”
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    Final Year Project Report / IMRAD
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  17. 17
    Auditory Evoked Potentials (AEPs) Response Classification: A Fast Fourier Transform (FFT) and Support Vector Machine (SVM) Approach

    Auditory Evoked Potentials (AEPs) Response Classification: A Fast Fourier Transform (FFT) and Support Vector Machine (SVM) Approach by Islam, Md Nahidul, Norizam, Sulaiman, Rashid, Mamunur, Mahfuzah, Mustafa, Md Jahid, Hasan

    Published 2022
    “…Then, the features have extracted with the help of Fast Fourier Transform (FFT), Power Spectral Density (PSD), Spectral Centroids, Standard Deviation algorithms. …”
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  18. 18
    Intelligent detection of DTMF tones using a hybrid signal processing technique with support vector machines

    Intelligent detection of DTMF tones using a hybrid signal processing technique with support vector machines by Nagi J., Yap K.S., Tiong S.K., Ahmed S.K., Nagi F.

    Published 2023
    “…Efficient methods for DTMF signal detection are important for developing telecommunication equipment. …”
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  19. 19
    NUMERICAL MODELING OF TROPOSPHERIC RADIO WAVE PROPAGATION USING WAVELETS

    NUMERICAL MODELING OF TROPOSPHERIC RADIO WAVE PROPAGATION USING WAVELETS by ,, ASIF IQBAL

    Published 2012
    “…Second, a split-step wavelet method (SSWM) is developed.…”
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  20. 20
    Characterization And Classification Of Bioactive Compound In Natural Products By FTIR And Multivariate Data Analysis

    Characterization And Classification Of Bioactive Compound In Natural Products By FTIR And Multivariate Data Analysis by Mohamed Azmin, Nor Fadhillah, Amid, Azura, Asnawi, Ani Liza

    Published 2018
    “…Therefore, this study was focused on the development of algorithm for rapid identification of flavonoids classes which are flavanone, flavone and flavonol. …”
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