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  1. 1
    Needleman wunsch implementation for SPAM/UCE inline filter

    Needleman wunsch implementation for SPAM/UCE inline filter by Tamil E.M., Idris M.Y.I., Thong C.M., Jali M.Z., Madihah Mohd Saudi

    Published 2024
    Conference Paper
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  2. 2
    Quantum Processing Framework And Hybrid Algorithms For Routing Problems

    Quantum Processing Framework And Hybrid Algorithms For Routing Problems by Soltan Aghaei, Mohammad Reza

    Published 2010
    “…The focus of this study is developing a framework of QAPU and hybrid architecture for classical-quantum algorithms. The framework is used to increase the implementation performance of quantum algorithms. …”
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    Thesis
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  3. 3
    Logic Programming In Radial Basis Function Neural Networks

    Logic Programming In Radial Basis Function Neural Networks by Hamadneh, Nawaf

    Published 2013
    “…I used different types of optimization algorithms to improve the performance of the neural networks. …”
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  4. 4
    An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players

    An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players by Mohammad Zukuwwan, Zainol Abidin

    Published 2021
    “…This system can help coaches to solve problem regarding the strong team development with available players and motivate the use of decision technologies in sports able to match the results from the real world implementation.…”
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  5. 5
    Self-evaluation of RTS Troop's performance

    Self-evaluation of RTS Troop's performance by Chin Kim On, Chang Kee Tong, Jason Teo, Rayner Alfred, Wang Cheng, Tan Tse Guan

    Published 2015
    “…Experimental results demonstrate success with all aims: both EP and hybrid DE could be implemented into the Warcraft III platform, and both algorithms used able to generate optimal solutions.…”
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    Non-Indexed Article
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  6. 6
    The design and implementation of a two and three-dimensional triangular irregular network based GIS

    The design and implementation of a two and three-dimensional triangular irregular network based GIS by Abdul Rahman, Alias

    Published 2000
    “…All the developed algorithms and methods were tested using real data sets. …”
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  7. 7
    Micro-defects detection on metal screw surfaces based on algorithm of faster region convolutional neural network over internet of things / Nur Aainaa Zainal

    Micro-defects detection on metal screw surfaces based on algorithm of faster region convolutional neural network over internet of things / Nur Aainaa Zainal by Zainal, Nur Aainaa

    Published 2022
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  8. 8
    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems

    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

    Published 2018
    “…The multiobjective set covering model is used by including some real-world restrictions to find number of buses and drivers as it can represent the problem clearly for implementation. …”
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  9. 9
    Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri

    Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri by Muhamad Shukri, Muhamad Nur Adhwa

    Published 2017
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  10. 10
    Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm

    Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm by NGU, SU HANG

    Published 2023
    “…The trained CNN model will then implement using OpenCV for real-time operation and Python language for the programming.…”
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    Final Year Project Report / IMRAD
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  11. 11
    Raspberry Pi-Based Finger Vein Recognition System Using PCANet

    Raspberry Pi-Based Finger Vein Recognition System Using PCANet by Quek, Ee Wen

    Published 2018
    “…For classification, k-Nearest Neighbours (kNN) with Euclidean distance algorithm is implemented. An enhancement version for kNN algorithm, k-General Nearest Neighbours (kGNN) have been proposed at initial stage. …”
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    Monograph
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  12. 12
    An embedded cryptosystem implementing symmetric cipher and public-key crypto algorithms in hardware

    An embedded cryptosystem implementing symmetric cipher and public-key crypto algorithms in hardware by Hau, Yuan Wen

    Published 2005
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  13. 13
    Smart indoor parking system based on Dijkstra's algorithm

    Smart indoor parking system based on Dijkstra's algorithm by Ata, Karimeh Ibrahim Mohammad, Che Soh, Azura, Ishak, Asnor Juraiza, Jaafar, Haslina, Khairuddin, N. A.

    Published 2019
    “…This simulation includes all the circuits for determining the direction of the nearest parking lot. Programming in the Arduino is implemented to calculate the nearest parking lot based on Dijkstra’s Algorithm. …”
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  14. 14
    Sub-route reversal repair mechanism and differential evolution for urban transit network design problem

    Sub-route reversal repair mechanism and differential evolution for urban transit network design problem by Tarajo, Buba Ahmed

    Published 2017
    “…From the literature of UTNDP, the most widely used metaheuristic is the genetic algorithm, at the expense of other population-based metaheuristics. …”
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  15. 15
    A 33kV distribution network feeder reconfiguration by Using REPSO for voltage profile improvement

    A 33kV distribution network feeder reconfiguration by Using REPSO for voltage profile improvement by Sulaima, Mohamad Fani, Othman, Siti Noratika, Jali, Mohd Hafiz, Jamri , Mohd Saifuzam, Mohd Nasir, Mohamad Na'im, Bohari, Zul Hasrizal

    Published 2014
    “…The proposed method has been implemented and the real power losses in the 33kVdistribution system has been investigated and analyzed accordingly. …”
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  16. 16
    Automatic database of robust neural network forecasting / Saadi Ahmad Kamaruddin, Nor Azura Md. Ghani and Norazan Mohamed Ramli

    Automatic database of robust neural network forecasting / Saadi Ahmad Kamaruddin, Nor Azura Md. Ghani and Norazan Mohamed Ramli by Ahmad Kamaruddin, Saadi, Md. Ghani, Nor Azura, Mohamed Ramli, Norazan

    Published 2014
    “…The backpropagation algorithm is one of the most famous algorithms to train neural network based on the mean square error (MSE) of ordinary least squares (OLS). …”
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    Book Section
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  17. 17
    Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain

    Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain by Sadrnia, Abdolhossein

    Published 2014
    “…The Multiobjective GSA (MOGSA) algorithm is adopted and then programmed using MATLAB software particularly to the MOACLSC. …”
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  18. 18
    Comparative Analysis of Cervical Cell Classification Using Machine Learning Algorithms

    Comparative Analysis of Cervical Cell Classification Using Machine Learning Algorithms by Wan Azani Mustafa, Khalis Khiruddin, Khairur Rijal Jamaludin, Firdaus Yuslan Khusairi, Shahrina Ismail

    Published 2026
    journal::journal article
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  19. 19
    A DNR by Using Rank Evolutionary Particle Swarm Optimization for Power Loss Minimization

    A DNR by Using Rank Evolutionary Particle Swarm Optimization for Power Loss Minimization by Sulaima, Mohamad Fani, Othman, Siti Atika, Jamri , Mohd Saifuzam, Omar, Rosli, Sulaiman , Marizan

    Published 2014
    “…The proposed method will be implemented and the real power losses in the IEEE 33-bus test system will be investigated and analyzed accordingly. …”
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    Conference or Workshop Item
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  20. 20
    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game

    Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

    Published 2015
    “…After that, a bi-objectives algorithm is tested for comparing purposes and this contributed for the next two sub-objectives that is 3) to test the feasibility for implementing the PDE hybrid FFNN. 4) to compare single objective and multi-objective optimization algorithms performances. …”
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