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  1. 1
    Case Slicing Technique for Feature Selection

    Case Slicing Technique for Feature Selection by A. Shiba, Omar A.

    Published 2004
    “…Case Slicing Technique (CST) helps in identifying the subset of features used in computing the similarity measures needed by classification algorithms. …”
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  2. 2
    Development of symbolic algorithms for certain algebraic processes

    Development of symbolic algorithms for certain algebraic processes by Abd. Rahman, Ali, Aris, Nor'Aini

    Published 2007
    “…In the case of dense Legendre basis polynomials with a big GCD solution, the modular algorithm is significantly superior to the nonmodular algorithms in higher degree polynomials. …”
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    Monograph
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  3. 3
    Development of symbolic algorithms for certain algebraic processes

    Development of symbolic algorithms for certain algebraic processes by Abd. Rahman, Ali, Aris, Nor'aini

    Published 2007
    “…In the case of dense Legendre basis polynomials with a big GCD solution, the modular algorithm is significantly superior to the nonmodular algorithms in higher degree polynomials. …”
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  4. 4
    Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses

    Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses by Sadrnia, Abdolhossein, Ismail, Napsiah, Mohd Ariffin, Mohd Khairol Anuar, Zulkifli, Norzima, Boyer, Omid

    Published 2014
    “…With regards to the complexity of the reverse logistics network, traditional method cannot be implemented for solving them. Thus, an evolutionary algorithm based genetic algorithm (GA) is applied as a solution methodology to solve mixed integer linear programming model and find the optimum solution. …”
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  5. 5
    Design Of Robot Motion Planning Algorithm For Wall Following Robot

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
    “…Computer A will be sent the data to computer B through the internet/LAN using JAVA program. …”
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  6. 6
    Café Web Based System Using Priority Scheduling Approach

    Café Web Based System Using Priority Scheduling Approach by Fatimah, Ghazali, Rohana, Ismail, Mohamad Hariz, Hasni

    Published 2017
    “…The priority scheduling algorithm is based on Control Processing Unit scheduling algorithm where it has a priority to execute tasks. …”
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  7. 7
    Detection of the spread of Covid-19 in Indonesia using K-Means Clustering Algorithm / Mohammad Yazdi Pusadan ... [et al.]

    Detection of the spread of Covid-19 in Indonesia using K-Means Clustering Algorithm / Mohammad Yazdi Pusadan ... [et al.] by Pusadan, Mohammad Yazdi, Rabbani, Mohammad Abied, Ardiansyah, Rizka, Ngemba, Hajra Rasmita

    Published 2023
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  8. 8
    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems

    Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

    Published 2018
    “…Additionally, the MTS algorithm is also implemented in parallel computing to produce parallel MTS for generating comparable solutions in shorter computational times. …”
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  9. 9
    An Algorithm Study for Modeling the Multi-Period Inventory Transportation Problem in Construction Industry (S/O 14585)

    An Algorithm Study for Modeling the Multi-Period Inventory Transportation Problem in Construction Industry (S/O 14585) by Yaakob, Mazri, Abdul Rahim, Mohd Kamarul Irwan

    Published 2021
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  10. 10
    A random search based effective algorithm for pairwise test data generation

    A random search based effective algorithm for pairwise test data generation by Sabira, Khatun, K. F., Rabbi, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

    Published 2011
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  11. 11
    Automated time series forecasting

    Automated time series forecasting by Ismail, Suzilah, Zakaria, Rohaiza, Tuan Muda, Tuan Zalizam

    Published 2011
    “…Moving Average, Decomposition, Exponential Smoothing, Time Series Regressions and ARIMA) were used.The algorithm was developed in JAVA using up to date forecasting process such as data partition, several error measures and rolling process.Successfully, the results of the algorithm tally with the results of SPSS and Excel.This automatic forecasting will not just benefit forecaster but also end users who do not have in depth knowledge about forecasting techniques.…”
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  12. 12
    A cluster-based hybrid replica control protocol for high availability in data grid

    A cluster-based hybrid replica control protocol for high availability in data grid by Mabni, Zulaile

    Published 2019
    “…Therefore, a replica control protocol must consider the dynamic aspects of the Data Grid. …”
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  13. 13
    Biometric identification with limited data set

    Biometric identification with limited data set by Lionnie, Regina, Attamimi, Said, Sediono, Wahju, Alaydrus, Mudrik

    Published 2019
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  14. 14
    An algorithm model for solving the single-period inventory transportation problems in the construction industry

    An algorithm model for solving the single-period inventory transportation problems in the construction industry by Abdul Rahim, Mohd Kamarul Irwan, Yaakob, Mazri, Ahmad Zaidi, Mohd Faizal, Nadarajan, Santhirasegaran, Zainol, Zuraidah

    Published 2020
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  15. 15
    An Algorithm Model for Solving the Single-Period Inventory Transportation Problems in the Construction Industry

    An Algorithm Model for Solving the Single-Period Inventory Transportation Problems in the Construction Industry by Abdul Rahim, Mohd Kamarul Irwan, Yaakob, Mazri, Ahmad Zaidi, Mohamad Faizal, S.R. Nadarajan, Santhirasegaran, Zainol, Zuraidah

    Published 2020
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  16. 16
    A study on the significance of backlash width values to the performance of the MIQP-based design of MPC

    A study on the significance of backlash width values to the performance of the MIQP-based design of MPC by H., Zabiri, Y., Samyudia

    Published 2005
    “…Simulation results via an industrial Fluidized Catalytic Cracking Unit (FCCU) case study are presented to show the significance of precise estimation of the backlash width in ensuring successful implementation of the MIQP-based design of MPC.…”
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  17. 17
    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad Kushairi

    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad... by Ahmad, Nurul Atirah, Abu Samah, Khyrina Airin Fariza, Ahmad Kushairi, Nuwairah Aimi

    Published 2023
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  18. 18
    Propositional satisfiability method in rough classification modeling for data mining

    Propositional satisfiability method in rough classification modeling for data mining by Abu Bakar, Azuraliza

    Published 2002
    “…Two models, Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) to represent the minimal reduct computation problem were proposed. …”
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  19. 19
    Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure

    Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure by Ramasamy, Chitra, Zolkepli, Maslina

    Published 2019
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  20. 20
    Energy-aware task scheduling for streaming applications on NoC-based MPSoCs

    Energy-aware task scheduling for streaming applications on NoC-based MPSoCs by Abd Ishak, Suhaimi Abd Ishak, Wu, Hui, Tariq, Umair Ullah

    Published 2024
    “…Our approach is supported by a set of novel techniques, which include constructing an initial schedule based on a list scheduling where the priority of each task is its approximate successor-tree-consistent deadline such that the workload across all the processors is balanced, a retiming heuristic to transform intraperiod dependencies into inter-period dependencies for enhancing parallelism, assigning an optimal discrete frequency for each task and each message using a Non-Linear Programming (NLP)-based algorithm and an Integer-Linear Programming (ILP)-based algorithm, and an incremental approach to reduce the memory usage of the retimed schedule in case of memory size violations. …”
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