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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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    Thesis
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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
    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence

    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…Both of these algorithms are designed using 16 × 16 block size. In particular, the motion vector estimation, quality performance, computational complexity, and elapsed processing time are emphasised. …”
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  5. 5
    Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks

    Review of energy efficient block-matching motion estimation algorithms for wireless video sensor networks by Cheong, Seong Chee, Asral, Bahari Jambek, Razaidi, Hussin

    Published 2013
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  6. 6
    Model selection approaches of water quality index data

    Model selection approaches of water quality index data by Kamarudin, Nur Azulia, Ismail, Suzilah

    Published 2016
    “…Automatic model selection by using algorithm can avoid huge variability in model specification process compared to manual selection.With the employment of algorithm, the right model selected is then also used for forecasting purposes. …”
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  7. 7
    Natural image noise level estimation based on local statistics for blind noise reduction

    Natural image noise level estimation based on local statistics for blind noise reduction by Khmag, Asem, Ramli, Abd Rahman, Sy Mohamed, Sy Abd Rahman Al-haddad, Kamarudin, Noraziahtulhidayu

    Published 2018
    “…In this study, a patch-based estimation technique is used to estimate for noise level and applies it to the proposed blind image denoising algorithm. …”
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  8. 8
    Image-based air quality estimation using convolutional neural network optimized by genetic algorithms: A multi-dataset approach

    Image-based air quality estimation using convolutional neural network optimized by genetic algorithms: A multi-dataset approach by Khan, Arshad Ali, Mazlina, Abdul Majid, Dandoush, Abdulhalim

    Published 2025
    “…This paper proposes a new approach using convolutional neural networks with genetic algorithms for estimating air quality directly from images. …”
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  9. 9
    Age Group Estimation from Face Images

    Age Group Estimation from Face Images by Tiong, Pei Kee

    Published 2015
    “…The average accuracy of the algorithm is 72.66% for good quality images and 44.92% for poor quality images.…”
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  10. 10
    Denoising of digital images using second generation wavelet transforms-hidden markov model

    Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

    Published 2016
    “…After applying the denoising algorithm on the contaminated image, the cycling spinning algorithm is applied to increase the visual quality of the restored image. …”
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  11. 11
    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman

    Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman by Che Osman, Siti Eshah

    Published 2019
    “…Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
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  12. 12
    Multiple equations model selection algorithm with iterative estimation method

    Multiple equations model selection algorithm with iterative estimation method by Kamarudin, Nur Azulia, Ismail, Suzilah

    Published 2016
    “…There have been various procedures suggested to date, whether through manual or automated selections, to choose the best model.This study nonetheless focuses on an automated selection for multiple equations model with the use of iterative estimation method. In particular, an algorithm on model selection for seemingly unrelated regression equations model using iterative feasible generalized least squares estimation method is proposed. …”
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  13. 13
    Performance Analysis of Motion Estimation Algorithms on Digital Video Images

    Performance Analysis of Motion Estimation Algorithms on Digital Video Images by Ali, Nur Alisa, Ja'afar, Abd Shukur, Abd Rahim, Rosman, Mohammed Napiah, Zul Atfyi Fauzan, Md Yusop, Azdiana, Meor Said, Maizatul Alice

    Published 2011
    “…Block Matching Motion Estimation (BMME) techniques have been particularly used in various coding standards. …”
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  14. 14
    Enhancement of Harmonic State Estimation Using Harmonic Prediction

    Enhancement of Harmonic State Estimation Using Harmonic Prediction by Mohd Nor, Nursyarizal, Asirvadam , Vijanth Sagayan, Abdullah, M. F., M. M. Alhaj, Hussam

    Published 2012
    “…The world wide increasing using nonlinear loads, mostly consisting of power electronics devices in many applications that bring a great concern about power quality problems caused by these nonlinear loads, harmonics pollution is main concern of power quality issues due to its harmful effect on power system network, several harmonic state estimation “H.S.E” methods have been devolved to estimate the harmonic magnitude level and to identify the harmonic sources ,This paper presents a concept, method and function of harmonic state estimation and implementation of the singular value decomposition “S.V.D” algorithm on power system harmonic state estimation for partially observable systems with harmonic prediction method to compensate the loss of the observation and maintain the redundancy of the measurements. …”
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    Non-Citation Index Journal
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  15. 15
    ADAPTIVE LINEAR ALGORITHMS FOR POWER SYSTEM FUNDAMENTAL AND HARMONIC ESTIMATION

    ADAPTIVE LINEAR ALGORITHMS FOR POWER SYSTEM FUNDAMENTAL AND HARMONIC ESTIMATION by MUBARAK MOHMMED, HUSSAM ALHAJ

    Published 2015
    “…Hence, one of the objectives of this thesis is to address and enhance the introduced fundamental frequency adaptive filter method which was based on modified variable step size LMS (MVSS) algorithm using generalized square error normalized LMS algorithm. …”
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  16. 16
    An analysis of the performance of fast block matching motion estimation algorithms

    An analysis of the performance of fast block matching motion estimation algorithms by Abdul Manap, Redzuan, Esro, Mazran, Basari, Amat Amir, Ahmad, Badrul Hisham

    Published 2009
    “…For PSNR analysis, NTSS algorithm performs the best with up to 3.203 dB improvement on video quality.…”
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  17. 17
    Performance analysis of block matching algorithms in motion estimation

    Performance analysis of block matching algorithms in motion estimation by Abdul Manap, Redzuan, Esro, Mazran, Basari, Amat Amir, Ahmad, Badrul Hisham

    Published 2010
    “…For PSNR analysis, NTSS algorithm performs the best with up to 1.884 dB improvement on video quality.…”
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    Conference or Workshop Item
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  18. 18
    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm

    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

    Published 2019
    “…However, SURE-Autometrics has not been estimated using maximum likelihood estimation (MLE). …”
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  19. 19
    Non-pressurized magnetorheological damper controlled using fuzzy semi active damping force estimator (fSADE)

    Non-pressurized magnetorheological damper controlled using fuzzy semi active damping force estimator (fSADE) by Saiful Anuar, Abu Bakar, Hishamuddin, Jamaluddin, Roslan, Abd Rahman, Pakharuddin, Mohd Samin, Ryosuke, Masuda, Hiromu, Hashimoto, Takeshi, Inaba

    Published 2012
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  20. 20
    Multilevel optimization for dense motion estimation

    Multilevel optimization for dense motion estimation by Saaban, Azizan, Kalmoun, El Mostafa, Ibrahim, Haslinda, Ramli, Razamin, Omar, Zurni

    Published 2011
    “…Experimental results on three image sequences using four models of optical flow with different computational efforts show that the FMG/Opt algorithm outperforms significantly both the TN and MR/Opt algorithms in terms of the computational work and the quality of the optical flow estimation.…”
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