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  1. 1
    An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town

    An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town by Nor Rafidah, Mohamad

    Published 2005
    “…Both algorithms are compared. Simulation is used as a method in this study. …”
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  2. 2
    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 Matlab-Simulink environment is used to simulate the operation of the PV module, depending on the extracted parameters. …”
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  3. 3
    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 Matlab-Simulink environment is used to simulate the operation of the PV module, depending on the extracted parameters. …”
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  4. 4
    Kalman filter based impedance parameter estimation for transmission line and distribution line

    Kalman filter based impedance parameter estimation for transmission line and distribution line by Siti Nur Aishah, Mohd Amin

    Published 2019
    “…Therefore, a detailed study on developing and evaluating the new algorithms for transmission line parameter estimation is considered in this thesis. …”
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  5. 5
    Backstepping Integral Super Twisting Sliding Mode Control Algorithm For Autonomous Underwater Glider

    Backstepping Integral Super Twisting Sliding Mode Control Algorithm For Autonomous Underwater Glider by Noh, Maziyah Mat

    Published 2019
    “…As a result, a robust and reliable has been designed using back-stepping integral super twisting sliding mode control algorithm (BISTSMC) for nonlinear model of longitudinal plane of an AUG. …”
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  6. 6
    Artificial neural network and inverse solution method for assisted history matching of a reservoir model

    Artificial neural network and inverse solution method for assisted history matching of a reservoir model by Negash, B.M., Vel, A., Elraies, K.A.

    Published 2017
    “…This allows to directly simulate the trained neural network and avoid the use of objective function and optimization algorithm. …”
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  7. 7
    Computational dynamic support model for social support assignments around stressed individuals among graduate students

    Computational dynamic support model for social support assignments around stressed individuals among graduate students by Al-Shorman, Roqia Rateb

    Published 2020
    “…The algorithm complexity analysis was used to measure the execution time in the worst case. …”
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  8. 8
    An efficient backoff algorithm for IEEE 802.15.4 wireless sensor networks

    An efficient backoff algorithm for IEEE 802.15.4 wireless sensor networks by Dahham, Zahraa, Sali, Aduwati, Mohd Ali, Borhanuddin

    Published 2014
    “…To evaluate the performance of EBA-15.4MAC mechanism, the network simulator has been conducted. …”
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  9. 9
    Investigation of impedance-based fault location techniques in power system network / Tan Feng Jie

    Investigation of impedance-based fault location techniques in power system network / Tan Feng Jie by Tan, Feng Jie

    Published 2019
    “…This research project presents the investigation on the effect of the 5 systems parameters on the accuracy of the 4 one-ended impedance-based fault location methods. 5 case studies represent the effect of 5 system parameters are simulated using the transmission network model developed in MATLAB SIMULINK. …”
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  10. 10
    On a new transmuted three-parameter lindley distribution and its applications

    On a new transmuted three-parameter lindley distribution and its applications by Xi, Yuhang, Lu, Hezhi, Liang, Fei

    Published 2024
    “…In this paper, a new transmuted three-parameter Lindley distribution (TTHPLD) is established using the transmutation map method, which includes the Lindley distribution, two-parameter Lindley distribution, transmuted two-parameter Lindley distribution and three-parameter Lindley distribution as special cases. …”
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  11. 11
    Information Theoretic-based Feature Selection for Machine Learning

    Information Theoretic-based Feature Selection for Machine Learning by Muhammad Aliyu, Sulaiman

    Published 2018
    “…The second test evaluates IFS in a controlled study using simulated datasets. …”
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  12. 12
    Vehicle pick-up and drop-off schedule optimization in a university setting

    Vehicle pick-up and drop-off schedule optimization in a university setting by Teo, Chun Kit

    Published 2024
    “…For dynamic requests, a handler evaluates acceptance based on time constraints, and schedule re-optimization is triggered as necessary, using the same methods as in the static case. …”
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  13. 13
    Development of a multi criteria decision support system using convolutional neural network and jaya algorithm for water resources management / Chong Kai Lun

    Development of a multi criteria decision support system using convolutional neural network and jaya algorithm for water resources management / Chong Kai Lun by Chong , Kai Lun

    Published 2021
    “…In addition, the confidence level was built using the percentile-t-method (or bootstrap-t-method). …”
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  14. 14
    Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification

    Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification by Ling, Hui Yean

    Published 2025
    “…The evaluation considered segmentation performance using evaluation metrics (precision, recall, F1 score, IoU), computational efficiency, and crack geometrical parameters quantification (surface crack ratio, crack width, crack length, and crack segment). …”
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  15. 15
    Development of controller for an underactuated autonomous underwater vehicle (AUV)

    Development of controller for an underactuated autonomous underwater vehicle (AUV) by Mat-Noh, Maziyah, Zain, Zainah Md, Abd Ghani, N. M., Abdul Wahab, Yasmin, Razali, Akhtar Razul

    Published 2019
    “…As a result, a robust and reliable has been designed using back-stepping super twisting sliding mode control algorithm (BSTSMC) for nonlinear model of longitudinal plane of an AUG. …”
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  16. 16
    A Predictive Input Shaping Control for Swing Suppression of an Overhead Crane System Subjected to Non-Zero Initial Condition and Payload Hoisting

    A Predictive Input Shaping Control for Swing Suppression of an Overhead Crane System Subjected to Non-Zero Initial Condition and Payload Hoisting by Aina Syazwin Binti Mohd Shukor

    Published 2025
    thesis::master thesis
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  17. 17
    A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources

    A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources by Ahmadipour M., Ali Z., Ramachandaramurthy V.K., Ridha H.M.

    Published 2025
    “…To ensure fair comparisons, parameter configurations for all algorithms are automated using the parameter tuning tool iterated racing (irace). …”
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  18. 18
    Geometrical and dimensional defect evaluation of cold forged AA6061 propeller blade

    Geometrical and dimensional defect evaluation of cold forged AA6061 propeller blade by Abdullah, Ahmad Baharuddin

    Published 2013
    “…In the other case, the simulation results indicated that the most significant parameter for the filling ability and amount of bulging was the distance to edge, whereas the punch taper was not relevant for cases of edge embossing. …”
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  19. 19
    Slight-Delay Shaped Variable Bit Rate (SD-SVBR) Technique for Video Transmission

    Slight-Delay Shaped Variable Bit Rate (SD-SVBR) Technique for Video Transmission by Ahmad Suki, Che Mohamed Arif

    Published 2011
    “…It is designed based on the Shaped VBR (SVBR) algorithm and was implemented in the Network Simulator 2 (ns-2). …”
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  20. 20
    Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data

    Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data by Aljawdi, Bader

    Published 2011
    “…In this thesis, we considered two methods via the expectation maximization (EM) algorithm for cure rate estimation based on the BCH model using the two censoring types common to cancer clinical trials; namely, right and interval censoring. …”
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