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  1. 1
    Improvement on optimal coordination of directional overcurrent relays in mesh distribution network system using artificial intelligence technique

    Improvement on optimal coordination of directional overcurrent relays in mesh distribution network system using artificial intelligence technique by Olufemi, Osaji Emmanuel

    Published 2015
    “…Moreover, other challenges to be addressed is in the ineffective prediction of the nonlinear time-current characteristic function curve from empirical data as earlier proposed in previous research, for the future determination of the relay operation time response to short circuit fault in other locations. …”
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  2. 2
    Generic DNA encoding design scheme to solve combinatorial problems

    Generic DNA encoding design scheme to solve combinatorial problems by Rofilde, Hasudungan

    Published 2015
    “…Using this encoding scheme would enable researchers to solve other hard problems whilst also improving the algorithm.…”
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  3. 3
    Optimal overcurrent relay coordination in wind farm using genetic algorithm

    Optimal overcurrent relay coordination in wind farm using genetic algorithm by Razaei, Nima

    Published 2015
    “…The most recent and successful OF for GA technique has been used, unique parameters for GA was selected for this research to significantly improve the protection for wind farms that is highly better compared to any research accomplished before for the purpose of wind farm protection. …”
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  4. 4
    Potential fish habitat mapping using MODIS-derived sea surface salinity, temperature and chlorophyll-a data: South China Sea Coastal areas, Malaysia

    Potential fish habitat mapping using MODIS-derived sea surface salinity, temperature and chlorophyll-a data: South China Sea Coastal areas, Malaysia by Daqamseh, Salleh T., Mansor, Shattri, Pradhan, Biswajeet, Billa, Lawal, Mahmud, Ahmad Rodzi

    Published 2013
    “…Finally, the research has developed a potential fish zone model amalgamating all the above parameters. …”
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  5. 5
    Optimized techniques for landslide detection and characteristics using LiDAR data

    Optimized techniques for landslide detection and characteristics using LiDAR data by Mezaal, Mustafa Ridha

    Published 2018
    “…The intensity derived from the LiDAR data, geometric and texture features significantly affects the accuracy of differentiating shallow from deep-seated landslides. …”
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  6. 6
    Feedforward artificial neural network-based model for predicting the removal of phenolic compounds from water by using deep eutectic solvent-functionalized CNTs

    Feedforward artificial neural network-based model for predicting the removal of phenolic compounds from water by using deep eutectic solvent-functionalized CNTs by Ibrahim R.K., Fiyadh S.S., AlSaadi M.A., Hin L.S., Mohd N.S., Ibrahim S., Afan H.A., Fai C.M., Ahmed A.N., Elshafie A.

    Published 2023
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  7. 7
    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy

    Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

    Published 2011
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  8. 8
    Development of cost reduction mathematical model for natural gas transmission network system

    Development of cost reduction mathematical model for natural gas transmission network system by Mehrdad, Nikbakht Eliaderany

    Published 2012
    “…This research separated Natural Gas Gathering Systems (NGGSs), which was relating to the collected natural gas from the wells and transmit it to the refineries from the NGTSs. …”
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  9. 9
    Machining optimization using Firefly Algorithm / Farhan Md Jasni

    Machining optimization using Firefly Algorithm / Farhan Md Jasni by Md Jasni, Farhan

    Published 2020
    “…Based on the previous research on the success of Firefly Algorithm, this approach will be able to optimize the machining parameter of milling operation. …”
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  10. 10
    Predictive modelling of machining parameters of S45C mild steel

    Predictive modelling of machining parameters of S45C mild steel by Abbas, Adnan Jameel

    Published 2016
    “…The temperature of primary plastic deformation zone which called shearing zone, and secondary deformation zone which called chip slides on the rake face zone are measured. This research adopts the utilization of three types of heurestic algorithms to achieve the minimization operation; Genetic Algorithm (GA). …”
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  11. 11
    Determining islanding operation using micro grid phasor measurement unit parameters

    Determining islanding operation using micro grid phasor measurement unit parameters by Arefin, Ahmed Amirul, Md Hasan, Khairul Nisak, Romlie, Mohd Fakhizan, Abdullah, Mohd Faris, Ali, Mohd Nazri, Othman, Mohammad Lutfi

    Published 2020
    “…The main objective of this research is to determine and compare the voltage angle and current angle with normal operation and islanding operation of the micro grid to develop multilevel islanding detection algorithm to ensure the higher reliability. …”
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  12. 12
    A Comparison Study Between Two Algorithms Particle Swarm Optimization for Depth Control of Underwater Remotely Operated Vehicle

    A Comparison Study Between Two Algorithms Particle Swarm Optimization for Depth Control of Underwater Remotely Operated Vehicle by Mohd Aras, Mohd Shahrieel, Jaafar, Hazriq Izzuan, Razilah , Abdul Rahim, Ahmad , Arfah

    Published 2013
    “…Two parameters in Single Input Fuzzy Logic Controller will tune using two algorithms to obtain optimum parameter. …”
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  13. 13
    Determining islanding operation using micro grid phasor measurement unit parameters

    Determining islanding operation using micro grid phasor measurement unit parameters by Arefin, A.A., Hasan, K.N.M., Romlie, M.F., Abdullah, M.F., Ali, M.N., Othman, M.L.

    Published 2020
    “…The main objective of this research is to determine and compare the voltage angle and current angle with normal operation and islanding operationof the micro grid to develop multilevel islanding detection algorithm to ensure the higher reliability. …”
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  14. 14
    ANALYSIS AND OPTIMIZATION OF HYDROCYCLONE GEOMETRY USING BOX-BEHNKEN AND MULTI-OBJECTIVE OPTIMIZATION ALGORITHM

    ANALYSIS AND OPTIMIZATION OF HYDROCYCLONE GEOMETRY USING BOX-BEHNKEN AND MULTI-OBJECTIVE OPTIMIZATION ALGORITHM by MOHD NOR, MOHD AZRI

    Published 2021
    “…However, the process of designing an optimal hydrocyclone is difficult due to its sensitivity to many parameters such as geometrical dimensions and operational parameters which is still lacking. …”
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  15. 15
    Modified Parameters of Harmony Search Algorithm for Better Searching

    Modified Parameters of Harmony Search Algorithm for Better Searching by Nur Farraliza, Mansor, Abas, Z.A, Shibghatullah, A.S., Rahman, A.F.N.A

    Published 2017
    “…These parameters influence the overall performance of the HS algorithm, and therefore it is crucial to fine-tune them. …”
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  16. 16
    Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm

    Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm by Muthana, Shatha Abdulhadi, Ku Mahamud, Ku Ruhana

    Published 2023
    “…This research aims to find the optimal parameter values for the Pareto Ant Colony System (PACS) algorithm, which is used to obtain solutions for the generator maintenance scheduling problem. …”
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  17. 17
    A Query-Driven Spatial Data Warehouse Conceptual Schema For Disaster Management

    A Query-Driven Spatial Data Warehouse Conceptual Schema For Disaster Management by Kamal Bahrain, Safiza Suhana

    Published 2016
    “…User queries are prioritized in the conceptual design framework. Outputs from the formalization process are used with a schema algorithm to effectively derive a generalized schema. …”
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  18. 18
    Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN

    Effect of Operating Parameters on Ethanol–Water Vacuum Separation in an Ethanol Dehydration Apparatus and Process Modeling with ANN by S., Karimi, B., Ghobadian, G., Najafi, A., Nikian, R., Mamat

    Published 2014
    “…L10L10 mode and L5T10 mode provide the best results for final concentration and total time, respectively. The Trainlm Algorithm like the previous research training algorithm is the best.…”
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  19. 19
    Global optimal analysis of variant genetic operations in solar tracking

    Global optimal analysis of variant genetic operations in solar tracking by Fam D.F., Koh S.P., Tiong S.K., Chong K.H.

    Published 2023
    “…In this research, genetic algorithm is explored to maximize the performance of solar tracking system. …”
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  20. 20
    Optimal parameter estimation of permanent magnet synchronous motor by using Mothflame optimization algorithm / Abdolmajid Dejamkhooy and Sajjad Asefi

    Optimal parameter estimation of permanent magnet synchronous motor by using Mothflame optimization algorithm / Abdolmajid Dejamkhooy and Sajjad Asefi by Dejamkhooy, Abdolmajid, Asefi, Sajjad

    Published 2018
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