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  1. 1
    Vision-based robot indoor navigation

    Vision-based robot indoor navigation by Teo, Zhin Hang

    Published 2022
    “…To conclude, a vision-based indoor navigation robot training system is effectively established. …”
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  2. 2
    A Bat-inspired Strategy for Pairwise Testing

    A Bat-inspired Strategy for Pairwise Testing by Alsariera, Yazan A., Mazlina, Abdul Majid, Kamal Z., Zamli

    Published 2015
    “…Recently, there are growing interests for adapting optimization algorithms as the basis of the newly developed strategies. …”
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  3. 3
    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom

    Low-level hybridization scripting language with dynamic parameterization in PSO-GA / Suraya Masrom by Masrom, Suraya

    Published 2015
    “…Evaluations of four different sets of applications that used the proposed implementation frameworks with dynamic parameterization have indicated the effectiveness of each tested algorithm in comparison to the single PSO and constant parameterization. …”
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  4. 4
    An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.

    An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications. by S. Ahmed, Bestoun, Enoiu, Eduard, Afzal, Wasif, Kamal Z., Zamli

    Published 2020
    “…The limited application of combinatorial test generation on industrial programs can impact the use of such techniques as Q-EMCQ. …”
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  5. 5
    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
    “…The MTS algorithm is coded in ANSI-C language and tested on benchmark data from Mandl's Swiss Network and Mumford's larger data. …”
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  6. 6
    Fog-cloud scheduling simulator for reinforcement learning algorithms

    Fog-cloud scheduling simulator for reinforcement learning algorithms by Al-Hashimi, Mustafa Ahmed Adnan, Rahiman, Amir Rizaan, Muhammed, Abdullah, Hamid, Nor Asilah Wati

    Published 2023
    “…This study presents a developed simulator that captures all mentioned realistic scenarios by providing the feature of integrability with the reinforcement learning (RL) algorithm. …”
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  7. 7
    Development of new code for optical code division multiple access systems

    Development of new code for optical code division multiple access systems by Hilal Adnan, Fadhil

    Published 2011
    “…Splitting algorithm is proposed to construct the new code families namely RD code. …”
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  8. 8
    Finite element modelling of damage fracture and fretting fatigue

    Finite element modelling of damage fracture and fretting fatigue by Wahab, M. Abdel, Hilmy, Irfan, Hafiz, Tauqeer, Talemi, R. Hojjati

    Published 2012
    “…A damage model is developed based on Continuum Damage Mechanics and integrated within FE code. …”
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  9. 9
    DEVELOPMENT OF A FATIGUE DAMAGE MONITORING SYSTEM USING DIGITAL IMAGE CORRELATION

    DEVELOPMENT OF A FATIGUE DAMAGE MONITORING SYSTEM USING DIGITAL IMAGE CORRELATION by KHOO, SZE WEI

    Published 2017
    “…First, a two-dimensional sub-pixel accuracy deformation measurement algorithm was coded using MATLAB. Attention has been given to improve the algorithm’s computational efficiency and measurement accuracy. …”
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  10. 10
    Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin

    Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin by Husam , N. S. Yasin

    Published 2021
    “…Software testing is an effective means for assuring the quality of applications. …”
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  11. 11
    Improving hand written digit recognition using hybrid feature selection algorithm

    Improving hand written digit recognition using hybrid feature selection algorithm by Wong, Khye Mun

    Published 2022
    “…Therefore, many researchers have applied and developed various machine learning algorithms that could efficiently tackle the handwritten digit recognition problem. …”
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  12. 12
    DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi

    DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi by Azmi, Muhammad Haziq

    Published 2025
    “…During the application's development, a wide literature review was conducted, users were interviewed and surveyed, and the developed application was iteratively built and redesigned. …”
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  13. 13
    Design of intelligent control system and its application on fabricated conveyor belt grain dryer

    Design of intelligent control system and its application on fabricated conveyor belt grain dryer by Lutfy, Omar F.

    Published 2011
    “…The simplified ANFIS controller was then applied to control the developed ANFIS-based dryer model using different initial conditions based on real data. …”
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  14. 14
    Automatic marking system for programming subject

    Automatic marking system for programming subject by Chan, Jin Yee

    Published 2023
    “…This application handle execution of anonymous code that could be malicious securely by running the code in an isolate environment. …”
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  15. 15
    Detection of SQL injection attack using machine learning

    Detection of SQL injection attack using machine learning by Tung, Tean Thong

    Published 2024
    “…The system covers multiple stages: project pre-development, data pre-processing, feature selection, machine learning model selection, model training, model testing, implementation, and assessment. …”
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  16. 16
    STRUCTRAL BEHA VIORE OF REINFORCED CONCRETE BEAMS STRENGTHED FOR SHEAR USING CFRP LAMINATES SUBJECTED TO CYCLIC LOADING

    STRUCTRAL BEHA VIORE OF REINFORCED CONCRETE BEAMS STRENGTHED FOR SHEAR USING CFRP LAMINATES SUBJECTED TO CYCLIC LOADING by ABDEL WAHAB, LOUA Y MAHMOUD

    Published 2010
    “…FRP composite materials are widely employed because of their high strength to weight ratio, environmental resistance and ease of application over materials such as steel. In this research, an analytical model based on non-linear finite element algorithms coded in FORTRAN language was developed to enable the analysis of R.C beams externally strengthened for shear using CFRP laminates subjected to cyclic loads. 20-noded isoparametric quadrilateral elements with three degrees of freedom per each node were used to represent concrete. …”
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  17. 17
    Assessment of proposed lateral resistance system used with framed structures

    Assessment of proposed lateral resistance system used with framed structures by Fateh, Amir

    Published 2016
    “…The specific finite element algorithms are developed and implemented in the finite element program code for the nonlinear analysis of RC framed buildings. …”
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  18. 18
    Development of a hybrid dynamic fuzzy encoder and decoder model for colour QR code

    Development of a hybrid dynamic fuzzy encoder and decoder model for colour QR code by Badawi, Bakri

    Published 2022
    “…A new colour QR code algorithm known as a Fuzzy QR code (FQR code) was proposed to solve the problems faced by current colour QR codes. …”
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  19. 19
    Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios

    Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios by Tayebiyan, Aida

    Published 2015
    “…To determine the optimum solution in each policy, real coded genetic algorithm is used as an optimization technique. …”
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  20. 20
    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing

    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing by Goh, Kwang Yi

    Published 2023
    “…We enhanced the Q-Learning algorithm for action selection based on potential action abilities and proposed a tool, namely CrashDroid, that allows the automation of testing context-aware Android applications. …”
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