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  1. 1
    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
    “…Then canonical Polyadic decomposition-based attribute reduction is applied to the offload-able task to reduce the data size. Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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  2. 2
    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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  3. 3
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Dhany, Saputra

    Published 2008
    “…The results also show that in Java, A Arraylist is the most suitable choice for storing Object and Arraylnt list is the most suitablec choice for storing integer data. …”
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  4. 4
    Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending

    Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending by Abu Khadra, Fayiz Y. M.

    Published 2006
    “…The training data required to train the two-metamodeling techniques were generated using a verified nonlinear finite element algorithm developed in the current research. …”
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  5. 5
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
    “…The results also show that in Java, A Arraylist is the most suitable choice for storing Object and Arraylnt list is the most suitablec choice for storing integer data. …”
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  6. 6
    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
    “…Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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  7. 7
    Environmental Assessment of Alkali-Catalysed Biodiesel Process Using War Algorithm

    Environmental Assessment of Alkali-Catalysed Biodiesel Process Using War Algorithm by Siti Faiznur, Daud

    Published 2013
    “…Hence to determine the PEI value, WAR Algorithm is then introduced. It is used to evaluate the environmental friendliness of a process and was carried out by using the developed Microsoft Excel spread sheet. …”
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  8. 8
    Reducing of Inconsistent Data using Fuzzy Multi Attribute Decision Making for Accessing Data from Database

    Reducing of Inconsistent Data using Fuzzy Multi Attribute Decision Making for Accessing Data from Database by Yusof, Mohd Kamir, Abdul Rahman, Mohd Nordin, Azlan, Atiqah

    Published 2013
    “…Sample data was selected for experiments purposes. The result indicates fuzzy multi attribute decision making is a suitable technique in reducing inconsistent data from database. …”
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  9. 9
    Modelling of elastic modulus degradation in sheet metal forming using back propagation neural network

    Modelling of elastic modulus degradation in sheet metal forming using back propagation neural network by M. R. Jamli, A. K. Ariffin, Dzuraidah Abd. Wahab

    Published 2015
    “…The model was developed using the back propagation neural networks (BPNN) based on the experimental tension unloading data. …”
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  10. 10
    Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network

    Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network by Jamli, Mohamad Ridzuan, Mohd Ihsan, Ahmad Kamal Ariffin, Abdul Wahab, Dzuraidah

    Published 2015
    “…The model was developed using the back propagation neural networks (BPNN) based on the experimental tension unloading data. …”
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  11. 11
    Algorithm of the effect of g-jittren on free convection adjacent to a stretching sheet

    Algorithm of the effect of g-jittren on free convection adjacent to a stretching sheet by Shafie, Sharidan

    Published 2009
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    Monograph
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  12. 12
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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  13. 13
    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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  14. 14
    Prediction of abrasive waterjet machining of sheet metals using artificial neural network

    Prediction of abrasive waterjet machining of sheet metals using artificial neural network by Nur Khadijah, Mazlan, Nazrin, Mokhtar, Asmelash, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…Taguchi method with L36 orthogonal array was employed to develop the experimental design. A back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with the mean squared error to be below 10%. …”
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  15. 15
    Characterization of PV panel and global optimization of its model parameters using genetic algorithm

    Characterization of PV panel and global optimization of its model parameters using genetic algorithm by Ismail, M.S., Moghavvemi, Mahmoud, Mahlia, T.M.I.

    Published 2013
    “…The Manufacturer's Data Sheet information is used as a basis for the purpose of parameter optimization, with an average absolute error fitness function formulated; and a numerical iterative method used to solve the voltage-current relation of the PV module. …”
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  16. 16
    Prediction of abrasive waterjet machining of sheet metals using artificial neural network

    Prediction of abrasive waterjet machining of sheet metals using artificial neural network by Nur Khadijah, Mazlan, Nazrin, Mokhtar, Gebremariam, Mebrahitom Asmelash, Azmir, Azhari

    Published 2022
    “…Taguchi method with L36 orthogonal array was employed to develop the experimental design. A back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with the mean squared error to be below 10%. …”
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  17. 17
    Characterization of PV panel and global optimization of its model parameters using genetic algorithm

    Characterization of PV panel and global optimization of its model parameters using genetic algorithm by Ismail M.S., Moghavvemi M., Mahlia T.M.I.

    Published 2023
    “…The Manufacturer's Data Sheet information is used as a basis for the purpose of parameter optimization, with an average absolute error fitness function formulated; and a numerical iterative method used to solve the voltage-current relation of the PV module. …”
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  18. 18
    Mixed convection flow of dusty viscoelastic with aligned magnetic field over a vertical stretching sheet / Muhammad Azfar Hanis Muhammad Khairi

    Mixed convection flow of dusty viscoelastic with aligned magnetic field over a vertical stretching sheet / Muhammad Azfar Hanis Muhammad Khairi by Muhammad Khairi, Muhammad Azfar Hanis

    Published 2025
    “…Hence, validating the developed numerical algorithm and graphical outputs. …”
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  19. 19
    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
    “…Another proposed algorithm is replica placement algorithm which selects and places only one replica in each cluster. …”
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  20. 20
    Detection of corneal arcus using rubber sheet and machine learning methods

    Detection of corneal arcus using rubber sheet and machine learning methods by Ramlee, Ridza Azri

    Published 2019
    “…This research is focusing on better ROI for iris segmentation by reducing the unwanted area, in order to maximize the useful region contain the CA presence. The segmentation iris is transformed to rectangular shape using the Rubber Sheet method. …”
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