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  1. 1
    Ball surface representations using partial differential equations

    Ball surface representations using partial differential equations by Kherd, Ahmad Saleh Abdullah

    Published 2015
    “…This algorithm is then tested in positivity preserving of surface and image enlargement problems. …”
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  2. 2
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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  3. 3
    Object-Oriented Programming semantics representation utilizing agents

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…Novices tend to refer to source codes examples and adapt the source codes to the problem given in their assignments. To cater the problems faced by these novices, a novel agent-based model have been designed to assist them in comprehending OOP concepts through source codes examples. …”
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  4. 4
    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan , Yin Keong

    Published 2009
    “…The stochastic model is a more thorough representation of the problem because it considers all the uncertainties along with the associated probabilities. …”
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  5. 5
    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End

    Optimization of Upstream Offshore Oilfield Production Planning under Uncertainty and Downstream Crude Oil Scheduling at Refinery Front-End by Tan Yin Keong, Tan Yin

    Published 2012
    “…The stochastic model is a more thorough representation of the problem because it considers all the uncertainties along with the associated probabilities. …”
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  6. 6
    Malicious URL Detection with Distributed Representation and Deep Learning

    Malicious URL Detection with Distributed Representation and Deep Learning by Do N.Q., Selamat A., Lim K.C., Krejcar O.

    Published 2023
    Conference Paper
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  7. 7
    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING

    USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING by MUFLIKHAH, LAILIL

    Published 2010
    “…Based on the new representation, the documents are then subjected to the clustering algorithm itself, which is Fuzzy c-Means algorithm. …”
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  8. 8
    Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem

    Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem by Anniza, Hamdan, San Nah, Sze, Say Leng, Goh, Kang Leng, Chiew, Wei King, Tiong

    Published 2023
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  9. 9
    Bus Driver Scheduling System via Genetic Algorithm with Enhanced Crossover Mechanism

    Bus Driver Scheduling System via Genetic Algorithm with Enhanced Crossover Mechanism by Lim, Tze Shung

    Published 2009
    “…The model has efficiently solved the bus driver scheduling problem in the case of Universiti Utara Malaysia (UUM). …”
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  10. 10
    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application

    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application by Yana Aditia, Gerhana, Nur, Lukman, Arief Fatchul, Huda, Cecep Nurul, Alam, Undang, Syaripudin, Devi, Novitasari

    Published 2020
    “…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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  11. 11
    Extremal region detection and selection with fuzzy encoding for food recognition

    Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

    Published 2019
    “…Three algorithms were used to accomplish the task of feature representation. …”
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  12. 12
    Crossover and mutation operators of real coded genetic algorithms for global optimization problems

    Crossover and mutation operators of real coded genetic algorithms for global optimization problems by Lim, Siew Mooi

    Published 2016
    “…This study is primarily aimed at investigating two issues in genetic algorithm (GA) and one issue in conformational search (CS) problems. …”
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  13. 13
    Document classification based on kNN algorithm by term vector space reduction

    Document classification based on kNN algorithm by term vector space reduction by Moldagulova A., Sulaiman R.B.

    Published 2023
    Conference Paper
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  14. 14
    An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints

    An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints by Noraini, Mohd Razali

    Published 2015
    “…In this study, the vehicle routing problem subject to precedence constraints has been modeled as the Travelling Salesman Problem (TSP) with precedence constraints. …”
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  15. 15
    Implementation of case-based reasoning in help desk system

    Implementation of case-based reasoning in help desk system by Tee, Shih Min

    Published 2019
    “…Besides of time consuming when solving customers’ problem, the personnel also faced inherently knowledge problem during help desk operation and difficulty in assessing abundant case data without a systematic system. …”
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  16. 16
    Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik

    Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik by Zalinda Othman

    Published 2010
    “…Genetic algorithm formulation included chromosome representations and genetic operators have been developed to suit the scheduling problems that take into account the alternative production lines. …”
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  17. 17
    Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures

    Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures by Naseer, S., Ali, R.F., Dominic, P.D.D., Saleem, Y.

    Published 2020
    “…The comparisons were performed using well known model evaluation parameters. Results showed that deep representations are a promising feature in engineering replacement to develop anomaly detection models for IT infrastructure security. …”
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  18. 18
    Modelling of assembly sequence planning problem using base part concept

    Modelling of assembly sequence planning problem using base part concept by M Arif, Abdullah, Mohd Fadzil Faisae, Ab Rashid, Zakri, Ghazalli, Nik Zuki, Nik Mohamed, Ahmad Nasser, Mohd Rose

    Published 2018
    “…Recently, various research works have been done to optimize the ASP problem using different optimization algorithms. Besides the algorithm efficiency, another factor that directly contributed to the quality of the solution is how the problem is modelled. …”
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  19. 19
    Fast zerox algorithm for routing in optical multistage interconnection networks.

    Fast zerox algorithm for routing in optical multistage interconnection networks. by T.D. , Shahida, Othman, Mohamed, Abdullah, M. Khazani

    Published 2010
    “…Based on the ZeroX algorithm, a fast and efficient crosstalk-free time- domain algorithm called the Fast ZeroX or shortly FastZ_X algorithm is proposed for solving optical crosstalk problem in optical Omega multistage interconnection networks. …”
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  20. 20
    Modelling of Assembly Sequence Planning Problem using Base Part Concept

    Modelling of Assembly Sequence Planning Problem using Base Part Concept by Muhamad Arif, Abdullah, M. F. F., Ab. Rashid, Z., Ghazalli, N. M. Z., Nik Mohamed, A. N., Mohd Rose

    Published 2018
    “…Recently, various research works have been done to optimize the ASP problem using different optimization algorithms. Besides the algorithm efficiency, another factor that directly contributed to the quality of the solution is how the problem is modelled. …”
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