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  1. 1
    Modified HOS based Eigenvector algorithm for improvement of poor SNR of Seismic data

    Modified HOS based Eigenvector algorithm for improvement of poor SNR of Seismic data by A.F.M., Hani, M.S., Younis

    Published 2007
    “…Convolutional noise makes it difficult to identify the closely spaced bedding. Proposed blind equalization technique is based on the eigenvector algorithm [17], certain modifications are incorporated to reduce the MMSE, max. …”
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  2. 2
    A new split based searching for exact pattern matching for natural texts

    A new split based searching for exact pattern matching for natural texts by Hakak, Saqib Iqbal, Kamsin, Amirrudin, Shivakumara, Palaiahnakote, Idris, Mohd Yamani Idna, Gilkar, Gulshan Amin

    Published 2018
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  3. 3
    Exp-bet packet scheduling algorithm for multiple traffic services in long term evolution (LTE) system / Ku Siti Syahidah Ku Mohd Noh

    Exp-bet packet scheduling algorithm for multiple traffic services in long term evolution (LTE) system / Ku Siti Syahidah Ku Mohd Noh by Ku Mohd Noh, Ku Siti Syahidah

    Published 2016
    “…In this thesis, the comparison of proposed algorithm namely the Exponential Blind Equal Throughput (EXP-BET) was made with the Exponential Proportional Fairness (EXP-PF) and Frame Level Scheduler (FLS) algorithms. …”
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  4. 4
    Bat algorithm for rough set attribute reduction

    Bat algorithm for rough set attribute reduction by Taha A.M., Tang A.Y.C.

    Published 2023
    “…In this paper, a new optimization method has been introduced called bat algorithm for attribute reduction (BAAR), the proposed method is based mainly on the echolocation behavior of bats. …”
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  5. 5
    SUDOKU HELPER

    SUDOKU HELPER by Abdul Razak, Muhammad Asyraf

    Published 2015
    “…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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  6. 6
    Findings Annihilator(s) via Fault Injection Analysis (FIA) on Boolean Function of LILI-128

    Findings Annihilator(s) via Fault Injection Analysis (FIA) on Boolean Function of LILI-128 by Omar @ Othman, Wan Zariman, Mohd Jawi, Suhairi, Kamel Ariffin, Muhammad Rezal, Mahad, Zahari, Shamsuddin, Solahuddin

    Published 2020
    “…In this algorithm, the Boolean function given with coefficients, n is equal to ten (10) and its degree, d is equal to six (6). …”
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  7. 7
    A COMPUTATIONAL ALGORITHM for the NUMERICAL SOLUTION of NONLINEAR FRACTIONAL INTEGRAL EQUATIONS

    A COMPUTATIONAL ALGORITHM for the NUMERICAL SOLUTION of NONLINEAR FRACTIONAL INTEGRAL EQUATIONS by Amin, R., Senu, N., Hafeez, M.B., Arshad, N.I., Ahmadian, A.L.I., Salahshour, S., Sumelka, W.

    Published 2022
    “…With the help of the mentioned technique, the considered problem is transformed to a system of algebraic equations which is then solved for the required results by using Broyden algorithm. To check the validation and convergence of the proposed technique, some examples are given. …”
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  8. 8
    A computational algorithm for the numerical solution of nonlinear fractional integral equations

    A computational algorithm for the numerical solution of nonlinear fractional integral equations by Amin, Rohul, Senu, Norazak, Hafeez, Muhammad Bilal, Arshad, Noreen Izza, Ahmadian, Ali, Salahshour, Soheil, Sumelka, Wojciech

    Published 2021
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  9. 9
    An Algorithm for Automatically Updating a Forsyth-Edwards Notation String without an Array Board Representation

    An Algorithm for Automatically Updating a Forsyth-Edwards Notation String without an Array Board Representation by Iqbal A.

    Published 2023
    Conference Paper
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  10. 10
    Cost effective Expa-Max-Min scientific workflow allocation and load balancing strategy in cloud computing

    Cost effective Expa-Max-Min scientific workflow allocation and load balancing strategy in cloud computing by Konjaang, James Kok, Ayob, Fahrul Hakim, Muhammed, Abdullah

    Published 2018
    “…Scheduling multiple workflows with the standard Max-Min algorithm is a challenge because of the high priority given to task with maximum execution time first. …”
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  11. 11
    Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong

    Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong by Lily , Wong

    Published 2018
    “…The computational results also show that the algorithms of population based ACO performs better than the algorithms of non-population based ACO. …”
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  12. 12
    Face recognition based automated student attendance system

    Face recognition based automated student attendance system by Chin, Howard

    Published 2018
    “…The facial images are then classified and recognized based on the best result obtained from the combination of algorithm, enhanced LBP and PCA. …”
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  13. 13
    Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device

    Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device by Shanmuga, Pillai A/L Murutha Muthu

    Published 2021
    “…SAX algorithm changes the original time series data into a symbolic string and perform the discretization by dividing a time series into equal-sized segments. …”
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  14. 14
    Talkout : Protecting mental health application with a lightweight message encryption

    Talkout : Protecting mental health application with a lightweight message encryption by Gavin Teo Juen

    Published 2022
    “…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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    Academic Exercise
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  15. 15
    Comparative evaluation of anomaly-based controller area network IDS

    Comparative evaluation of anomaly-based controller area network IDS by Sharmin, Shaila, Mansor, Hafizah, Abdul Kadir, Andi Fitriah, Abdul Aziz, Normaziah

    Published 2023
    “…Entropy and frequency-based CAN IDS were found to be relatively better at detecting attacks, particularly fabrication attacks; while other algorithms did not perform well, as indicated by low MCC scores.…”
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  16. 16
    Predicting credit risk of the small medium enterprises using modified KMV model / Shakila Saad

    Predicting credit risk of the small medium enterprises using modified KMV model / Shakila Saad by Saad, Shakila

    Published 2022
    “…This study proposes a credit scoring method based on MCDM algorithm that will be able to forecast the score of the potential borrowers at a certain time by using the historic information. …”
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  17. 17
    Efficient mobile video transmission based on a joint coding scheme

    Efficient mobile video transmission based on a joint coding scheme by Azni, Mohamed, Boudjadja, Rima, Dahmani, Abdelnasser, Zennir, Mohamed Nadjib

    Published 2017
    “…The simulation results are then compared with an equal error protection (EEP) scheme.…”
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  18. 18
    Metaheuristic algorithms for solving lot-sizing and scheduling problems in single and multi-plant environments / Maryam Mohammadi

    Metaheuristic algorithms for solving lot-sizing and scheduling problems in single and multi-plant environments / Maryam Mohammadi by Mohammadi, Maryam

    Published 2015
    “…Metaheuristic approaches namely genetic algorithm, particle swarm optimization, artificial bee colony, simulated annealing, and imperialist competitive algorithm are adopted for the optimization procedures. …”
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  19. 19
    A modified weighted support vector machine (WSVM) to reduce noise data in classification problem

    A modified weighted support vector machine (WSVM) to reduce noise data in classification problem by Mohd Dzulkifli, Syarizul Amri

    Published 2021
    “…To overcome SVM drawback for noise data problem, WSVM using KPCM algorithm was used but WSVM using kernel-based learning algorithm such as KPCM algorithm suffer from training complexity, expensive computation time and storage memory when noise data contaminate training data. …”
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  20. 20
    A modified weighted support vector machine (WSVM) to reduce noise data in classification problem

    A modified weighted support vector machine (WSVM) to reduce noise data in classification problem by Mohd Dzulkifli, Syarizul Amri

    Published 2021
    “…To overcome SVM drawback for noise data problem, WSVM using KPCM algorithm was used but WSVM using kernel-based learning algorithm such as KPCM algorithm suffer from training complexity, expensive computation time and storage memory when noise data contaminate training data. …”
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