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  1. 1
    Approximate maximum clique algorithm (AMCA): A clever technique for solving the maximum clique problem through near optimal algorithm for minimum vertex cover problem

    Approximate maximum clique algorithm (AMCA): A clever technique for solving the maximum clique problem through near optimal algorithm for minimum vertex cover problem by Fayaz, Muhammad, Arshad,, Shakeel, Shah,, Abdul Salam, Shah, Asadullah

    Published 2018
    “…The only way left is to use the approximation algorithm of Minimum Vertex Cover (MVC) for the solution of the Maximum Clique (MC) problem. …”
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  2. 2
    Ground receiving station reference pair selection technique for a minimum configuration 3D emitter position estimation multilateration system

    Ground receiving station reference pair selection technique for a minimum configuration 3D emitter position estimation multilateration system by Yaro, A.S., Sha’Ameri, A.Z., Kamel, N.

    Published 2017
    “…Using the minimum number of GRSs for 3D emitter PE, a technique based on the condition number calculation is proposed to select the suitable GRS reference pair for improving the accuracy of the PE using the lateration algorithm. …”
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  3. 3
    New algorithm for autonomous dynamic path planning in real-time intelligent robot car

    New algorithm for autonomous dynamic path planning in real-time intelligent robot car by Mohammed, Akeel Ahmed, Hassan, Mohd Khair, Aris, Ishak, Kamsani, Noor Ain

    Published 2017
    “…Different algorithms have been used to address this problem by considering the optimal path with minimum cost; however, these algorithms did not consider the execution time to find such path. …”
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  4. 4
    Efficient prime-based method for interactive mining of frequent patterns.

    Efficient prime-based method for interactive mining of frequent patterns. by Mohammad Hossein, Nadimi Shahraki, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

    Published 2011
    “…Our method isolates the mining model from the mining process such that once the mining model is constructed; it can be frequently used by mining process with various minimum support thresholds. …”
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  5. 5
    An experience oriented-convergence improved gravitational search algorithm for minimum variance distortionless response beamforming optimum

    An experience oriented-convergence improved gravitational search algorithm for minimum variance distortionless response beamforming optimum by Darzi S., Tiong S.K., Tariqul Islam M., Rezai Soleymanpour H., Kibria S.

    Published 2023
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  6. 6
    DTWFF-pitch feature and faster neural network convergence for speech recognition

    DTWFF-pitch feature and faster neural network convergence for speech recognition by Sudirman, Rubita, Salleh, Sh. Hussain, Salleh, Shaharuddin

    Published 2007
    “…Another task included in this paper is to find the optimal global minimum of the NN surface using the conjugate gradient algorithm to replace the steepest gradient descent in the back-propagation algorithm. …”
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  7. 7
    Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State

    Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State by Far Chen, Jong

    Published 2022
    “…It is followed by identifying RES sites using spatial data and Multi-Criteria Decision Making-Analytical Hierarchy Process (MCDM-AHP) algorithm. …”
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  8. 8
    Multi objective optimisation for high speed end milling using simulated annealing algorithm

    Multi objective optimisation for high speed end milling using simulated annealing algorithm by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Shaffiar, Norhashimah, Seder, Amin M. F., Riza, Muhammad

    Published 2015
    “…This paper presents the optimization of machining parameters in end milling processes by using the simulated annealing algorithm (SAA) as one of the unconventional methods in optimization. …”
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  9. 9
    Enhancement processing time and accuracy training via significant parameters in the batch BP algorithm

    Enhancement processing time and accuracy training via significant parameters in the batch BP algorithm by Fatma Susilawati, Mohamad, Mumtazimah, Mohamad, Sarhan, AlDuais

    Published 2020
    “…The average accuracy training is 0.9909 and average processing time improved of dynamic algorithm is 430 times faster than the BBP algorithm. …”
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  10. 10
    Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad

    Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad by Saima Gulzar, Ahmad

    Published 2017
    “…To avoid such overheads many techniques have been used, however in this thesis stream-based data processing model is used in which data is processed in the form of continuous instances of data items. …”
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  11. 11
    Modelling and environmental assessment of heterogeneous catalysis biodiesel process using war algorithm

    Modelling and environmental assessment of heterogeneous catalysis biodiesel process using war algorithm by As Eleyana, Ali

    Published 2013
    “…WAR algorithm which acts as a comparison tool in selecting the environmentally benign design option is developed using heterogeneous catalysis and alkali homogeneous catalysis of biodiesel process as case study. …”
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  12. 12
    SINR improvement using Firefly Algorithm (FA) for Linear Constrained Minimum Variance (LCMV) beamforming technique

    SINR improvement using Firefly Algorithm (FA) for Linear Constrained Minimum Variance (LCMV) beamforming technique by Doroody C., Tiong S.K., Darzi S.

    Published 2023
    Conference Paper
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  13. 13
    Recursive least square and fuzzy modelling using genetic algorithm for process control application

    Recursive least square and fuzzy modelling using genetic algorithm for process control application by Abdul Rahman, Ribhan Zafira, Yusof, Rubiyah, Khalid, Marzuki

    Published 2007
    “…A technique for the modelling of nonlinear process control using Recursive Least Square and Takagi-Sugeno Fuzzy System with Genetic Algorithm topology is described. …”
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  14. 14
    Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6

    Multi-Objective Optimization of Minimum Quantity Lubrication in end Milling of Aluminum Alloy AA6061T6 by Najiha, M. S., M. M., Rahman, K., Kadirgama, M. M., Noor, D., Ramasamy

    Published 2015
    “…The purpose of this research is to optimize the process of minimum quantity lubrication (MQL) in the end milling of AA6061T6 using multi-objective genetic algorithm approach. …”
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  15. 15
    Development of low power viterbi decoder on complex programmable logic device platform

    Development of low power viterbi decoder on complex programmable logic device platform by Abu, Mohd Azlan

    Published 2018
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  16. 16
    An improved algorithm for channel allocation on direct sequence spread spectrum

    An improved algorithm for channel allocation on direct sequence spread spectrum by Handrizal, M

    Published 2011
    “…Graph coloring is an assignment a color to each vertex, which each vertex that adjacent is given a different color. Graph coloring is a useful algorithm for channel allocation on Direct Sequence Spread Spectrum (DSSS).Through this algorithm,each access point (AP) that adjacent gives different channels based on colors available.Welsh Powell algorithm and Degree of saturation (Dsatur) are the popular algorithms being used for channel allocation in this domain. …”
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  17. 17
    An algorithm to measure unsymmetrical circle shape of intravascular ultrasound image using image processing techniques

    An algorithm to measure unsymmetrical circle shape of intravascular ultrasound image using image processing techniques by Kutty, Suhaili Beeran, O. K. Rahmat, Rahmita Wirza, Kassim, Sazzli Shahlan, Madzin, Hizmawati, Hamdan, Hazlina

    Published 2021
    “…However, the measurement only offers by the existing software and some of the software needs human interaction to complete the process. The purpose of this paper is to present the algorithm to measure the region of interest (ROI) on intravascular ultrasound (IVUS) using an image processing technique. …”
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  18. 18
    A memory-based gravitational search algorithm for enhancing minimum variance distortionless response beamforming

    A memory-based gravitational search algorithm for enhancing minimum variance distortionless response beamforming by Darzi S., Sieh Kiong T., Tariqul Islam M., Rezai Soleymanpour H., Kibria S.

    Published 2023
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  19. 19
    Parametric Optimization of End Milling Process Under Minimum Quantity Lubrication With Nanofluid as Cutting Medium Using Pareto Optimality Approach

    Parametric Optimization of End Milling Process Under Minimum Quantity Lubrication With Nanofluid as Cutting Medium Using Pareto Optimality Approach by Najiha, M. S., M. M., Rahman, K., Kadirgama

    Published 2016
    “…In this paper a genetic algorithm based multi-objective optimization approach is applied in order to predict the optimal machining parameters for the end milling process of aluminium alloy 6061 T6 combined with minimum quantity lubrication (MQL) conditions using waterbased TiO2 nanofluid as cutting fluid. …”
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  20. 20
    Surface roughness optimization in end milling using the multi objective genetic algorithm approach

    Surface roughness optimization in end milling using the multi objective genetic algorithm approach by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Riza, Muhammad, Mohammad Yuhan, Suprianto

    Published 2012
    “…This paper presents the optimization of machining parameters in end milling processes by integrating the genetic algorithm (GA) with the statistical approach. …”
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