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  1. 1
    Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim

    Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim by Matakim, Aryani Rima

    Published 2025
    “…The results highlight the effectiveness of the shooting method with root-finding algorithms in providing accurate and efficient solutions to BVPs, making it a valuable tool in scientific and engineering applications.…”
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  2. 2
    An Educational Tool Aimed at Learning Metaheuristics

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…Initially, this tool adopts only Crow Search, Jaya, and Sine Cosine algorithms. …”
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  3. 3
    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool

    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool by Samuel Simbine, Augusto

    Published 2019
    “…EDI GmbH in collaboration with Karlsruhe Institute of Technology (KIT) are working on the solution (AI-based tool for predictive process optimization for chemical plants) for the above-mentioned problem. …”
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    Final Year Project
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  4. 4
    Enhancing clustering algorithm with initial centroids in tool wear region recognition

    Enhancing clustering algorithm with initial centroids in tool wear region recognition by Kasim, Nur Adilla, Nuawi, Mohd Zaki, Abdul Ghani, Jaharah, Ngatiman, Nor Azazi, Che Haron, Che Hassan, Muhammad Rizal

    Published 2020
    “…Nevertheless, the algorithm is sensitive to the initial centroids giving various solution every time the system updating. …”
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  5. 5
    Numerical analysis on chaos attractors using a backward difference formulation

    Numerical analysis on chaos attractors using a backward difference formulation by Rasedee, A. F. N., Abdul Sathar, M. H., Mohd Najib, N., Wong, T. J., Koo, L. F.

    Published 2022
    “…Compared to other numerical methods, the proposed backward difference algorithm will show to be an efficient tool for analyzing solutions for the chaos attractors.…”
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  6. 6
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  7. 7
    Centered fan field region under wedge indentation by numerical solution method

    Centered fan field region under wedge indentation by numerical solution method by Syafikah, Ayob, Nor Alisa, Mohd Damanhuri

    Published 2019
    “…The stress field obtained were then compared to the analytical solution. This solution method provides a simple algorithms that is easy to be applied in deformation and this will subsequently provide a contribution in designing tools and the construction industries involving granular materials.…”
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  8. 8
    Solving nonlinear system of equations based on MATLAB GUI / Muhammad Azri Azman Shah

    Solving nonlinear system of equations based on MATLAB GUI / Muhammad Azri Azman Shah by Azman Shah, Muhammad Azri

    Published 2024
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  9. 9
    Improved cuckoo search based neural network learning algorithms for data classification

    Improved cuckoo search based neural network learning algorithms for data classification by Abdullah, Abdullah

    Published 2014
    “…In the proposed HACPSO algorithm, initially accelerated particle swarm optimization (APSO) algorithm searches within the search space and finds the best sub-search space, and then the CS selects the best nest by traversing the sub-search space. …”
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  10. 10
    Fuzzy clustering method and evaluation based on multi criteria decision making technique

    Fuzzy clustering method and evaluation based on multi criteria decision making technique by Sameer, Fadhaa Othman

    Published 2018
    “…For the third problem a modified of Kohonen Network (MKN) algorithm was proposed to select the initial centres of clusters. …”
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  11. 11
    Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm

    Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm by Al-Jumaili A.H.A., Muniyandi R.C., Hasan M.K., Singh M.J., Paw J.K.S., Al-Jumaily A.

    Published 2025
    “…The results showed that using canopy as a preprocessing step cut the time it proceeds to deal with the significant number of power load abnormalities found in parallel using a fast density peak dataset and the time it proceeds for the k-means algorithm to run. Additionally, tests demonstrate that combining canopy and the K-means algorithm to analyze data performs consistently and dependably on the Hadoop platform and has a clustering result that offers a scalable and effective solution for power system monitoring. ? …”
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  12. 12
    Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms

    Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms by Alswaitti, Mohammed Y. T.

    Published 2018
    “…In the OGC framework, the exhibited explorative search behavior of the Gravitational Clustering (GC) algorithm has been addressed by (i) eliminating the agent velocity accumulation, and (ii) integrating an initialization method of agents using variance and median to subrogate the exploration process. …”
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  13. 13
    Numerical Analysis on Chaos Attractors using a Backward Difference Formulation

    Numerical Analysis on Chaos Attractors using a Backward Difference Formulation by Rasedee A. F. N., Abdul Sathar M. H., Mohd Najib N., Wong T. J., Koo L. F.

    Published 2024
    journal::journal article
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  14. 14
    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems

    Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems by Woon, Siew Fang

    Published 2009
    “…The basic idea of the discrete filled function method is as follows. We choose an initial point and then perform a local search to find an initial local minimizer. …”
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  15. 15
    Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation

    Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation by Premkumar M., Ravichandran S., Hashim T.J.T., Sin T.C., Abbassi R.

    Published 2025
    “…Comprehensive simulation studies across various case scenarios demonstrate that the proposed method markedly outperforms existing state-of-the-art optimization algorithms. It delivers faster convergence, enhanced accuracy, and robust performance under diverse environmental conditions, establishing a reliable and precise tool for optimizing PV system performance. …”
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  16. 16
    Improved hybrid methods in solving single variable nonlinear algebraic equations / Nor Hanim Abd Rahman

    Improved hybrid methods in solving single variable nonlinear algebraic equations / Nor Hanim Abd Rahman by Abd Rahman, Nor Hanim

    Published 2017
    “…The computational tools such as Maple 14 and Mathematica 7.0 are used for this research.…”
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  17. 17
    Hybrid Genetic Algorithm On Predicting Next Rainfall Distribution

    Hybrid Genetic Algorithm On Predicting Next Rainfall Distribution by Mohd Zain, Rasuan

    Published 2017
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  18. 18
    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures

    Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures by Koohi, Sina Zangbari

    Published 2020
    “…However, the current meta-heuristic algorithms do not ensure an optimum solution within a reasonable time. …”
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  19. 19
    Prediction of tuberculosis disease using SIR model with implementation of Euler and Fourth Order Runge-Kutta methods / Nabilah Nasuha Azmy & Nur Diana Syamira Mohd Nordin

    Prediction of tuberculosis disease using SIR model with implementation of Euler and Fourth Order Runge-Kutta methods / Nabilah Nasuha Azmy & Nur Diana Syamira Mohd Nordin by Azmy, Nabilah Nasuha, Mohd Nordin, Nur Diana Syamira

    Published 2019
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  20. 20
    Potential of data minimization techniques approach in improving DNA sequences alignment and comparison / Syed Abdul Mutalib Al Junid … [et al.]

    Potential of data minimization techniques approach in improving DNA sequences alignment and comparison / Syed Abdul Mutalib Al Junid … [et al.] by Al Junid, Syed Abdul Mutalib, Haron, Muhammad Adib, Abd Majid, Zulkifli, Othman, Zulkifli

    Published 2012
    “…This study will initially involve algorithm modification, mathematical formulation, logic design and simulation for data minimization and existing DNA sequences alignment algorithm. …”
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