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  1. 1
    Fuzzy modeling using Bat Algorithm optimization for classification

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

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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    Undergraduates Project Papers
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  2. 2
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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  3. 3
    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
    “…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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  4. 4
    Scalable approach for mining association rules from structured XML data

    Scalable approach for mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

    Published 2009
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  5. 5
    EasyA: Easy and effective way to generate pairwise test data

    EasyA: Easy and effective way to generate pairwise test data by Rabbi, Khandakar Fazley, Sabira, Khatun, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

    Published 2013
    “…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
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  6. 6
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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    Thesis
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  7. 7
    Development of intelligent 3D solid modeler based on artificial intelligent technique

    Development of intelligent 3D solid modeler based on artificial intelligent technique by Mohd. Zain, Azlan, Talib, Mohamad Shukor, Harun, Habibollah, Matondang, Muhammad Zaini, Mardzuki, Samihah

    Published 2008
    “…The neural network models and the hybrid algorithm have been tested and validated on three solid models namely cube, L-block and stair by using Matlab 7.14 software. …”
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    Monograph
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  8. 8
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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    Thesis
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  9. 9
    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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  10. 10
    Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia

    Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia by Latif S.D., Hazrin N.A.B., Younes M.K., Ahmed A.N., Elshafie A.

    Published 2025
    “…The previous machine algorithm applied in the proposed study area Malaysia was an artificial neural network using NARX inputs to accommodate the need of forecasting municipal solid waste generations in Malaysia. …”
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  11. 11
    Development of generic algorithm in wheel-typed hybrid rocket grain design for performance estimation

    Development of generic algorithm in wheel-typed hybrid rocket grain design for performance estimation by Kafafy, Raed, Azami, Muhammad Hanafi, Idres, Moumen, Zaharim, Azami, Sopian, Kamaruzaman

    Published 2012
    “…This paper uses Hydroxyl Terminated Polybutadiene (HTPB) as a solid fuel and liquid oxygen as an oxidizer for evaluation purposes. …”
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    Proceeding Paper
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  12. 12
    Real-time mass flow rate measurement for bulk solid flow using electrodynamic tomography system

    Real-time mass flow rate measurement for bulk solid flow using electrodynamic tomography system by Yaw, Wee Lee

    Published 2007
    “…To conclude, a real-time mass flow rate measurement system using elctrodynamic tomography is developed successfully.…”
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  13. 13
    Smart Routing For Solid Waste Collection

    Smart Routing For Solid Waste Collection by Ngiam, John Tze

    Published 2023
    “…This project aims to design and develop a route optimization and decision support system for solid waste collection in Malaysia. …”
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    Final Year Project Report / IMRAD
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  14. 14
    Development of effluent removal prediction model efficiency in septic sludge treatment plant through clonal selection algorithm

    Development of effluent removal prediction model efficiency in septic sludge treatment plant through clonal selection algorithm by Ting S.C., Ismail A.R., Malek M.A.

    Published 2023
    “…This study aims at developing a novel effluent removal management tool for septic sludge treatment plants (SSTP) using a clonal selection algorithm (CSA). …”
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  15. 15
    Integration of fuzzy logic control algorithm in the development of optical fiber daylighting system for energy savings / Fuziah Sulaiman.

    Integration of fuzzy logic control algorithm in the development of optical fiber daylighting system for energy savings / Fuziah Sulaiman. by Sulaiman, Fuziah

    Published 2006
    “…Then the design and construction of the daylight-linked photoelectric switch. The switch used Fuzzy Logic Control Algorithm for automated lighting and dimming control. …”
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  16. 16
    Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques

    Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques by Ahmed Sabit, Hakilo

    Published 2006
    “…The process flow data is captured fitting an array of 16 such sensors around the circumference of the pipe to capture the inherent charge on the flowing solid materials. A high speed data acquisition card DAS1800HC is used to interface the sensors to a personal computer which processes the data using linear back projection algorithm (LBPA) and filtered back projection algorithm (FBPA). …”
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  17. 17
    Recognition of Machined Features from Solid Database of Prismatic Components

    Recognition of Machined Features from Solid Database of Prismatic Components by Ismail, Napsiah, Abu Bakar, Nooh

    Published 1997
    “…Boundary r~presentation of solid modelling is used to model a prismatic component. …”
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  18. 18
    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant

    A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant by Chun T.S., Malek M.A., Ismail A.R.

    Published 2023
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  19. 19
    Multiple and solid data background scheme for testing static single cell faults on SRAM memories

    Multiple and solid data background scheme for testing static single cell faults on SRAM memories by Zakaria, Nor Azura

    Published 2013
    “…Hence, Method 1 is not suitable to be used with the MBIST for System on Chip (SoC). For Method 2, suitable solid DBs are used to provide higher fault coverage instead of using the existing MTA. …”
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  20. 20
    Development of effluent removal prediction model efficiency in septic sludge treatment plant through clonal selection algorithm

    Development of effluent removal prediction model efficiency in septic sludge treatment plant through clonal selection algorithm by Sie Chun, Ting, Ismail , Amelia Ritahani, A. Malek, Marlinda

    Published 2013
    “…This study aims at developing a novel effluent removal management tool for septic sludge treatment plants (SSTP) using a clonal selection algorithm (CSA). …”
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