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  1. 1
    A modified weight optimisation for higher-order neural network in time series prediction

    A modified weight optimisation for higher-order neural network in time series prediction by Husaini, Noor Aida

    Published 2020
    “…As the Markov chain Monté Carlo can replace the cumbersome in generating the objective functions, it is used to substitute the Lévy flight found in the MCS’s structure to prove that MCS-MCMC is suitable for predictive tasks. …”
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  2. 2
    Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof

    Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof by Mohd Yusof, Nor Azeala

    Published 2021
    “…Many algorithms such as AES, LED, KTANTAN, KATAN, L-Block, SIMON, SPECK, RECTANGLE, and GRAIN-128 have performed randomness test using NIST Statistical Test Suite. …”
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  3. 3
    A hybrid addition chain method for faster scalar multiplication

    A hybrid addition chain method for faster scalar multiplication by Mohamad Afendee, Mohamed, Mohamad Rushdan, Md Said

    Published 2015
    “…Totally different from others, this new method uses rule representation for prime factors of n, and a new algorithm to generate a complete chain for n. …”
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  4. 4
    A hybrid addition chain method for faster scalar multiplication

    A hybrid addition chain method for faster scalar multiplication by Mohamed, Mohamad Afendee, Md. Said, Mohamad Rushdan

    Published 2015
    “…Totally different from others, this new method uses rule representation for prime factors of n, and a new algorithm to generate a complete chain for n. …”
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  5. 5
    Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi

    Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi by Seyed Mohsen , Mousavi

    Published 2018
    “…Taguchi was used to optimize the algorithms parameters. While there was no benchmark in the literature, some numerical examples were generated to show the performance of the algorithms for both Euclidean and Square Euclidean distances while some case studies were also considered.…”
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  6. 6
    Optimized placement, sizing, and selection of distributed generation using the salp swarm algorithm

    Optimized placement, sizing, and selection of distributed generation using the salp swarm algorithm by Mat Yasin, Zuhaila, Mohammad Noor, Siti Zaliha, Hassan, Elia Erwani, M. Shami, Tareq

    Published 2025
    “…The salp swarm algorithm (SSA) was introduced as a method for efficiently selecting the optimal location, size, and type of distributed generation (DG) in a distribution system. …”
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  7. 7
    Integrated supply chain planning under uncertainty using an improved stochastic approach

    Integrated supply chain planning under uncertainty using an improved stochastic approach by Mohammadi Bidhandi, Hadi, Mohd Yusuff, Rosnah

    Published 2011
    “…The surrogate constraints method will be utilized to acceleration of the decomposition algorithm. …”
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  8. 8
    Underactuated control for an autonomous underwater vehicle with four thrusters

    Underactuated control for an autonomous underwater vehicle with four thrusters by Zainah, Md. Zain

    Published 2012
    “…Then,the Astolfi's discontinuous control approach is applied for such second-order chained forms.The present method can only realize partially underactuated control, which controls five states out of six states by using four inputs.The derived results are specialized to an X4-AUV but,in principle,analogous results can be obtained for vehicles with similar dynamics. …”
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  9. 9
    Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar

    Finding the root of nonlinear function using five bracketing method / Nur Afiqah Mohamed Azhar by Mohamed Azhar, Nur Afiqah

    Published 2019
    “…Therefore, numerical method in the form of bracketing method is often used to find only the approximate root of the function. …”
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  10. 10
    Autonomous mobile robot: Path planning using backward chaining

    Autonomous mobile robot: Path planning using backward chaining by I.M., Nawi, M.A.S.A., Rahim

    Published 2008
    “…This project concerns the design and fabrication of the Autonomous Mobile Robot (AMR) prototype, utilizing backward chaining as a mainframe in helping the robot to generate a self-understanding of the area of work and mobilization to a destination desired by the user. …”
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  11. 11
    Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions

    Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions by Abbas, Iraq Tareq

    Published 2018
    “…The second technique is to solve bi-objective functions by using the BOBAT algorithm. The third technique is an integration of BOGSA with BOBAT to produce a BOGSBAT algorithm. …”
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  12. 12
    Determining the preprocessing clustering algorithm in radial basis function neural network

    Determining the preprocessing clustering algorithm in radial basis function neural network by S.L. Ang, H.C. Ong, H.C. Law

    Published 2008
    “…Three types of method used in this study to find the centres include random selections, K-means clustering algorithm and also K-median clustering algorithm. …”
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  13. 13
    Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller

    Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller by Ismail, H. Muh Yusuf

    Published 2010
    “…Thus it is important to select the accurate membership functions but these methods possess one common weakness where conventional FLC use membership function and control rules generated by human operator. …”
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  14. 14
    The efficiency of conjugate gradient methods with global convergence / Siti Nur Hafiza Shamsudin

    The efficiency of conjugate gradient methods with global convergence / Siti Nur Hafiza Shamsudin by Shamsudin, Siti Nur Hafiza

    Published 2019
    “…The global convergence result is established using exact line searches. Numerical result shows that algorithm 2 which is one of the proposed CG methods is more efficiency when compared to other algorithms.…”
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  15. 15
    Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm

    Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm by Dalatu, Paul Inuwa

    Published 2018
    “…It shows that the IQR-HEOM method is more efficient to rectify the problem caused by using range in HEOM. …”
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  16. 16
    A Proposed Method For Selecting The Clustering Algorithm In Radial Basis Function [QA223. A581 2008 f rb].

    A Proposed Method For Selecting The Clustering Algorithm In Radial Basis Function [QA223. A581 2008 f rb]. by Ang, Sau Loong

    Published 2008
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  17. 17
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…As a result, the highest average accuracy generated which is 96.91% by using WBCD dataset. The average accuracy of Bat Algorithm is comparing with other methods. …”
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    Undergraduates Project Papers
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  18. 18
    Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems

    Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems by Zulkifli, Munierah, Abd Rahmin, Nor Aliza, Wah, June Leong

    Published 2023
    “…This paper proposes a new SGD algorithm with modified stepsize that employs function scaling strategy. …”
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  19. 19
    Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms

    Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms by Alzaeemi, Shehab Abdulhabib, Tay, Kim Gaik, Huong, Audrey, Sathasivam, Saratha, Majahar Ali, Majid Khan

    Published 2023
    “…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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  20. 20
    The fusion of particle swarm optimization (PSO) and interior point method (IPM) as cooperative movement control algorithm in Swarm Robotics / Dada Emmanuel Gbenga

    The fusion of particle swarm optimization (PSO) and interior point method (IPM) as cooperative movement control algorithm in Swarm Robotics / Dada Emmanuel Gbenga by Dada Emmanuel, Gbenga

    Published 2016
    “…Secondly, we compared the performance of our new algorithm pdAPSO with APSO, and PSO using 7 benchmark functions. …”
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