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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  3. 3
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  4. 4
    Development of an interactive learning tool for analysis of fast fourier transform from butterfly diagram

    Development of an interactive learning tool for analysis of fast fourier transform from butterfly diagram by Mohamad Syeihri Bin Mohamad Ismail

    Published 2023
    “…Suitable example for the generation of fast Fourier transform using butterfly diagram will be used in the development of the butterfly diagram software. …”
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  5. 5
    Time Difference Of Arrival Estimation Using Fast Fourier Transform Overlap For Underwater Positioning

    Time Difference Of Arrival Estimation Using Fast Fourier Transform Overlap For Underwater Positioning by Tan, Chee Sheng

    Published 2019
    “…In this research, an underwater communication device is developed and fast Fourier transform (FFT) overlap algorithm is proposed in order to achieve the objectives. …”
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  6. 6
    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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  7. 7
    Development of algorithm to characterize flavonoids classes

    Development of algorithm to characterize flavonoids classes by Che Noh, Che Hafizah, Mohamed Azmin, Nor Fadhillah, Amid, Azura, Asnawi, Ani Liza, Ibrahim, Siti Noorjannah

    Published 2017
    “…Development of algorithm based on PCA for the analysis and identification of flavonoids classes based on FTIR spectrum is introduced. …”
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  8. 8
    CAMERA TRACKING

    CAMERA TRACKING by SHAMSULIWARDI, DHUHA

    Published 2006
    “…The project deals with development of algorithm through the MATLAB software. …”
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  9. 9
    Optimized fast fourier transform architecture using instruction set architecture extension in low-end digital signal controller

    Optimized fast fourier transform architecture using instruction set architecture extension in low-end digital signal controller by Salim, Sani Irwan

    Published 2018
    “…A new architecture, called UTeMRISC, is developed from the baseline 8-bit microcontroller with the capability to perform signal processing applications such as Fast Fourier Transform (FFT). …”
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  10. 10
    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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  11. 11
    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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  12. 12
    Dual-tone multifrequency signal detection using support vector machines

    Dual-tone multifrequency signal detection using support vector machines by Nagi J., Tiong S.K., Yap K.S., Ahmed S.K.

    Published 2023
    “…The Goertzel's Algorithm is used to estimate the seven fundamental DTMF carrier frequencies. …”
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  13. 13
    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
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  14. 14
    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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  15. 15
    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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  16. 16
    Sensing texture using an artificial finger and a data analysis based on the standard deviation

    Sensing texture using an artificial finger and a data analysis based on the standard deviation by Chappell, Paul H., Muridan, Norasmahan, Mohamad Hanif, N. H. H, Cranny, Andy, White, Neil M.

    Published 2015
    “…The results from the algorithm are confirmed with an analysis of the signals using Fast Fourier Transforms.…”
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  17. 17
    An Adaptive Overcurrent Protection Scheme of Distribution Networks With DG Penetration

    An Adaptive Overcurrent Protection Scheme of Distribution Networks With DG Penetration by Muhammad Zul Helfi Azri Bin Abd Hadi

    Published 2023
    “…A radial 5 bus system is developed and used to validate the proposed adaptive scheme. …”
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  18. 18
    Sensing texture using an artificial finger and a data analysis based on the standard deviation

    Sensing texture using an artificial finger and a data analysis based on the standard deviation by Chappell, Paul H., Muridan, Norasmahan, Mohamad Hanif, Nik Hazrin, Cranny, Andy, White, Neil M.

    Published 2015
    “…The results from the algorithm are confirmed with an analysis of the signals using fast Fourier transforms.…”
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  19. 19
    Algorithm for rapid identification of flavonoids classes

    Algorithm for rapid identification of flavonoids classes by Che Noh, Che Hafizah, Mohamed Azmin, Nor Fadhillah, Amid, Azura, Asnawi, Ani Liza

    Published 2017
    “…Therefore, this study was focused on the development of algorithm for rapid identification of flavonoids classes which are flavanone, flavone and flavonol and also their derivatives. …”
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  20. 20
    Integration of spectroscopy and chemometric analysis for food authentication: a review

    Integration of spectroscopy and chemometric analysis for food authentication: a review by Basri, Katrul Nadia

    Published 2025
    “…This paper reviews various types of classification and regression algorithms in chemometric analysis to demonstrate the capabilities of these algorithms for use in food authentication processes. …”
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