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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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    Proceeding Paper
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  4. 4
    Synthesis of transistor chaining algorithm for CMOS cell layout using euler path / Sukri Hanafiah

    Synthesis of transistor chaining algorithm for CMOS cell layout using euler path / Sukri Hanafiah by Hanafiah, Sukri

    Published 1997
    “…Optimal Layout is the layout of the arrangment of CMOS transistor with the implementation of a random logic functional on an array of CMOS transistor. …”
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  5. 5
    Rtl Implementation Of Secure Hash Algorithm 3 (Sha-3) Towards Smaller Area

    Rtl Implementation Of Secure Hash Algorithm 3 (Sha-3) Towards Smaller Area by Lim , Yen Ruen

    Published 2017
    “…Data integrity must be ensured before and after the data transmission. Cryptographic hash functions are generally the basis of a secure network and used for data integrity verification. …”
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  6. 6
    Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed

    Implementation of repetitive control algorithm in reducing vibration using MATLAB/SIMULINK / Mohamad Zuhairy Mohamed by Mohamed, Mohamad Zuhairy

    Published 2008
    “…MATLAB programming is sue to design the repetitive controller after that its implement to the SIMULINK software. …”
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    Student Project
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  7. 7
    Ciphercrypt-an Encryption System / Nor Hidayah Ngah

    Ciphercrypt-an Encryption System / Nor Hidayah Ngah by Nor Hidayah, Ngah

    Published 2004
    “…This system is implemented on a Windows platform with Visual Basic as a programming language and 3-DES as a main encryption algorithm. …”
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  8. 8
    Jogging activity recognition using k-NN algorithm

    Jogging activity recognition using k-NN algorithm by Afifah Ismail

    Published 2022
    “…The k-NN algorithm is a simple and easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems. …”
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    Academic Exercise
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  9. 9
    Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions

    Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions by Odili, Julius Beneoluchi

    Published 2018
    “…This paper presents the implementation analysis of the benchmark Rosenbrock and Levy test functions using the Cuckoo Search with emphasis on the effect of the search population and iterations count in the algorithms search processes. …”
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  10. 10
    Automatic generation of user-defined test algorithm description file for memory BIST implementation

    Automatic generation of user-defined test algorithm description file for memory BIST implementation by Hussin, Razaidi, Jidin, Aiman Zakwan, Loh, Wan Ying, Mispan, Mohd Syafiq, Lee, Weng Fook

    Published 2022
    “…Memory built-in self-test (BIST) is a widely used technique to allow the self-test and self-checking of the embedded memories on chips after the fabrication process. It can be used by implementing a standard testing algorithm available in the EDA tool library or a user-defined algorithm (UDA). …”
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  11. 11
    Implementation analysis of cuckoo search for the benchmark rosenbrock and levy test functions

    Implementation analysis of cuckoo search for the benchmark rosenbrock and levy test functions by Odili, Julius Beneoluchi

    Published 2018
    “…This paper presents the implementation analysis of the benchmark Rosenbrock and Levy test functions using the Cuckoo Search with emphasis on the effect of the search population and iterations count in the algorithm’s search processes. …”
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  12. 12
    Antenna design using left-handed materials

    Antenna design using left-handed materials by Abd. Rahman, Tharek, Abdolee, Reza

    Published 2008
    “…After modeling, the algorithm is implemented in DSP by using C and Code Composer Studio. …”
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    Monograph
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  13. 13
    A Toolkit for Simulation of Desktop Grid Environment

    A Toolkit for Simulation of Desktop Grid Environment by FOROUSHAN, PAYAM CHINI

    Published 2014
    “…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. The final system has been developed after a successful delivery of two prototypes. …”
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    Final Year Project
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  14. 14
    Implementation evaluation of Cuckoo search for the benchmark Rosenbrock test function

    Implementation evaluation of Cuckoo search for the benchmark Rosenbrock test function by Odili, Julius Beneoluchi, Awanis, Romli

    Published 2017
    “…This paper presents the implementation evaluation of the benchmark Rosenbrock test function with particular emphasis on the effect of the search population and iterations count in the Cuckoo Search algorithm's quest for good solutions. …”
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    Conference or Workshop Item
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  15. 15
    Application of adaptive bats sonar algorithm to minimise car side impact design

    Application of adaptive bats sonar algorithm to minimise car side impact design by Tan, Hon Seong

    Published 2017
    “…The best objective function was compared with the existing results of other swarm intelligence algorithms. …”
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    Undergraduates Project Papers
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  16. 16
    Using genetic algorithms to optimise land use suitability

    Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

    Published 2012
    “…Second task is to determine the fitness function for the genetic algorithms. The third objective is to optimize the land use map using economic benefits. …”
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  17. 17
    E-Raser: file shredder application with content replacement by using random words function

    E-Raser: file shredder application with content replacement by using random words function by Mohd Nahar, Nur Farah Aqilah, Ab Rahman, Nurul Hidayah, Mohammad, Kamarudin Malik

    Published 2018
    “…The implemented algorithm replaced the original content of the files with uninformative words provided by the application. …”
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  18. 18
    Hybrid of firefly algorithm and pattern search for solving optimization problems

    Hybrid of firefly algorithm and pattern search for solving optimization problems by Wahid, Fazli, Ghazali, Rozaida

    Published 2018
    “…The developed approach has been applied to various types of maximization and minimization functions and the performance has been compared with standard FA and genetic algorithm in terms of getting the most optimal values for the functions being considered. …”
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  19. 19
    Antenna design using left-handed materials

    Antenna design using left-handed materials by Abd. Rahman, Tharek, Ngah, Razali, Ahmad, Mohd. Riduan, Abdolee, Reza, Leow, Chee Yen, I. A. Omer, Abdusamea, Osman Elsayed, Waiel Elsayed, Yusuf, Yusuf Ali, Pon, Lai Ly

    Published 2008
    “…After modeling, the algorithm is implemented in DSP by using C and Code Composer Studio. …”
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    Monograph
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  20. 20
    Asynchronous simulated kalman filter optimization algorithm

    Asynchronous simulated kalman filter optimization algorithm by Zuwairie, Ibrahim, Nor Azlina, Ab. Aziz, Nor Hidayati, Abd Aziz, Tasiransurini, Ab Rahman

    Published 2018
    “…In contrast to the synchronous implementation where the whole population go through each optimization step as a group, in ASKF an agent starts its optimization steps only after its preceding agent has complete all of its optimization steps. …”
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