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  1. 1
    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof

    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
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  2. 2
    Malaysian menu planning model using Self-adaptive Hybrid Genetic Algorithm (SHGA)

    Malaysian menu planning model using Self-adaptive Hybrid Genetic Algorithm (SHGA) by Mohd Razali, Siti Noor Asyikin, Engku Abu Bakar, Engku Muhammad Nazri, Ku-Mahamud, Ku Ruhana, Arbin, Norazman, Rusiman, Mohd Saifullah

    Published 2018
    “…The aim of this research is to propose a self adaptive hybrid genetic algorithm (SHGA) approach to solve Malaysian menu planning problem for adolescents aged 13 to 18 years old. …”
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  3. 3
    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering

    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering by He, Yanfang

    Published 2024
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  4. 4
    Resource broker management by adopting self-adaptive multi-instance broker scheduling in grid computing

    Resource broker management by adopting self-adaptive multi-instance broker scheduling in grid computing by Yahaya, Bakri, Latip, Rohaya, Abdullah, Azizol, Othman, Mohamed

    Published 2014
    “…The number of broker instances to be used for each processing session is determined by calculating resources, computing power and workload. The Self-Adaptive Multi-Instance Broker Scheduling algorithm SAMiB was tested against iHLBA algorithm through four types of scenarios containing various mixes of background load and CPU speed. …”
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  5. 5
    Malaysian menu planning model using Self-Adaptive Hybrid Genetic Algorithm (SHGA)

    Malaysian menu planning model using Self-Adaptive Hybrid Genetic Algorithm (SHGA) by Mohd Razali, Siti Noor Asyikin, Engku Abu Bakar, Engku Muhammad Nazri, Ku Mahamud, Ku Ruhana, Arbin, Norazman, Rusiman, Mohd Saifullah

    Published 2018
    “…The aim of this research is to propose a self-adaptive hybrid genetic algorithm (SHGA) approach to solve Malaysian menu planning problem for adolescents aged 13 to 18 years old. …”
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  6. 6
    Development and usage of self-organising maps in high energy physics analysis with high performance computing / Mohd Adli Md Ali

    Development and usage of self-organising maps in high energy physics analysis with high performance computing / Mohd Adli Md Ali by Mohd Adli , Md Ali

    Published 2017
    “…Thus, development of an SOM algorithm for high energy physics datasets was performed. …”
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  7. 7
    BIOLOGICAL INSPIRED INTRUSION PREVENTION AND SELF-HEALING SYSTEM FOR CRITICAL SERVICES NETWORK

    BIOLOGICAL INSPIRED INTRUSION PREVENTION AND SELF-HEALING SYSTEM FOR CRITICAL SERVICES NETWORK by MOHAMED AHMED ELSHEIK, MUNA ELSADIG

    Published 2011
    “…Secondly, specification language, system design, mathematical and computational models for IPS and SH system are established, which are based upon nonlinear classification, prevention predictability trust, analysis, self-adaptation and self-healing algorithms. …”
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  8. 8
    Three-dimensional coverage control for multi-unmanned aerial vehicle

    Three-dimensional coverage control for multi-unmanned aerial vehicle by Siow, Wen Hao

    Published 2024
    “…The Multi-step Broadcast Control (MBC) scheme emerges as a key reference due to its effectiveness in scalability and computational efficiency. This study proposes a 3D coverage control algorithm to address complex real-world scenarios, wherein the 3D control algorithm will be developed based on the 2D MBC scheme. …”
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  9. 9
    Academic leadership bio-inspired classification model using negative selection algorithm

    Academic leadership bio-inspired classification model using negative selection algorithm by Jantan, Hamidah, Sa’dan, Siti ‘Aisyah, Che Azemi, Nur Hamizah Syafiqah

    Published 2015
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  10. 10
    Development of web based learning content of animation algorithm on searching and sorting techniques / Nur Linda Abdi Nur

    Development of web based learning content of animation algorithm on searching and sorting techniques / Nur Linda Abdi Nur by Abdi Nur, Nur Linda

    Published 2007
    “…The objectives of this project is to develop self-learning environment in learning searching and sorting algorithm, enhance understanding of student in learning searching and sorting technique and to apply web-based learning in computer science subject, which focus on courses that use searching and sorting algorithm.…”
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  11. 11
    Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement

    Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement by Abdul Rahman, Nor Farahaida

    Published 2016
    “…Utilization of soft-computing algorithms in the operation of Shunt Active Power Filters (SAPFs) becomes a latest trend. …”
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  12. 12
    Image recognition using Artificial Immune systems approach

    Image recognition using Artificial Immune systems approach by Hasnah, Ahmad, Puteh, Saad

    Published 2009
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    Working Paper
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  13. 13
    Photovoltaic shunt active power filter based on indirect self-charging with step size error cancellation and simplified adaptive linear neuron

    Photovoltaic shunt active power filter based on indirect self-charging with step size error cancellation and simplified adaptive linear neuron by Mohd Zainuri, Muhammad Ammirrul Atiqi

    Published 2017
    “…Laboratory prototype was then developed and digital signal processor (DSP) TMS320F28335 was used to perform the computation of algorithms. …”
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  14. 14
    License plate recognition using Kohonen neural network algorithm / Norfaeza Mat Noor

    License plate recognition using Kohonen neural network algorithm / Norfaeza Mat Noor by Mat Noor, Norfaeza

    Published 2006
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  15. 15
    SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model

    SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model by Lee, Nung Kion, Wang, Dianhui

    Published 2011
    “…Results: This paper aims to develop a Self-Organizing Map (SOM) based clustering algorithm for extracting binding sites in DNA sequences. …”
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  16. 16
    AuSR1 : Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking

    AuSR1 : Authentication and self-recovery using a new image inpainting technique with LSB shifting in fragile image watermarking by Aminuddin, Afrig, Ernawan, Ferda

    Published 2022
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  17. 17
    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun

    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
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  18. 18
    Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing

    Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing by Yahaya, Bakri

    Published 2016
    “…The improved Hierarchical Load Balancing Algorithm (iHLBA) was chosen as the benchmark algorithm as it focuses on scheduling for hierarchical grid computing environment. …”
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  19. 19
    3D human heart modeling (self-organizing Map Neural Network) / Mohd. Tharmezy Md. Tajuddin

    3D human heart modeling (self-organizing Map Neural Network) / Mohd. Tharmezy Md. Tajuddin by Mohd. Tharmez, Md. Tajuddin

    Published 2003
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  20. 20
    Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning

    Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning by Masuyama, Naoki, Loo, Chu Kiong, Ishibuchi, Hisao, Kubota, Naoyuki, Nojima, Yusuke, Liu, Yiping

    Published 2019
    “…In contrast, the proposed algorithm realizes a stable computation and reduces the number of parameters compared to existing algorithms. …”
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