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  1. 1
    Model predictive control for MPPT of distributed photovoltaic module

    Model predictive control for MPPT of distributed photovoltaic module by Jowalin, Wellfred

    Published 2017
    “…A conventional P&O technique was design by develop the algorithm to compare the result. A plant using system identification developed as the MPC needs a plant for prediction. …”
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  2. 2
    A review of deep learning-based defect detection and panel localization for photovoltaic panel surveillance system

    A review of deep learning-based defect detection and panel localization for photovoltaic panel surveillance system by Mohamed Ameerdin, Muhammad Irshat, Jamaluddin, Muhammad Herman, Shukor, Ahmad Zaki, Mohamad, Syazwani

    Published 2024
    “…YOLO algorithms are utilized for their real-time detection capabilities, allowing for immediate identification and categorization of defects during routine inspections. …”
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  3. 3
    Segmentation of MRI brain images using statistical approaches

    Segmentation of MRI brain images using statistical approaches by Balafar, Mohammad Ali

    Published 2011
    “…Also, a filter-based image inhomogeneity-correction algorithm is proposed which uses the maximum filter for inhomogeneity field estimation. …”
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  4. 4
    Improving Photometric Redshifts By Varying Activation Functions In Artificial Neural Networks

    Improving Photometric Redshifts By Varying Activation Functions In Artificial Neural Networks by Pathi, Imdad Binti Mahmud

    Published 2024
    “…The Artificial Neural Network Redshift (annz) algorithm is a fast and simple machine learning photometric redshift estimator. …”
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  5. 5
    Kinetic parameters estimation of the Escherichia coli (E. coli) model by Garra Rufa-inspired Optimization Algorithm (GRO)

    Kinetic parameters estimation of the Escherichia coli (E. coli) model by Garra Rufa-inspired Optimization Algorithm (GRO) by Jasni, Mohamad Zain, Azrag, Mohammed Adam Kunna, Saiful Farik, Mat Yatin, Aldehim, Ghadah, Zuhaira, Muhammad Zain, Shaiba, Hadil, Alturki, Nazik, Sapiah, Sakri, Azlinah, Mohamed, Jaber, Aqeel S.

    Published 2024
    “…As a result of this new method, it was discovered that small-scale and even whole-cell dynamic models can be estimated accurately.…”
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  6. 6
    Robust estimation methods for fixed effect panel data model having block-concentrated outliers

    Robust estimation methods for fixed effect panel data model having block-concentrated outliers by Abu Bakar @ Harun, Nor Mazlina

    Published 2019
    “…The Ordinary Least Squares (OLS) is the commonly used method to estimate the parameters of fixed effect panel data model. …”
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  7. 7
    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment

    Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment by Aqel, Mohammad O. A.

    Published 2016
    “…This method is one of the most effective methods for template matching. …”
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  8. 8
    Malaysia solar energy experience: intelligent fault location algorithm for unbalanced radial distribution network including PV systems

    Malaysia solar energy experience: intelligent fault location algorithm for unbalanced radial distribution network including PV systems by Farzan, Payam, Izadi, Mahdi, Gomes, Chandima, Hesamian, Mohammad Hesam

    Published 2016
    “…The recorded values are evaluated by a designed and tuned multi-layer feed forward neural network and the fault distances from the source are estimated accordingly. In order to highlight the accuracy of the presented method, the scenario is also repeated by recording the peak values of short circuit current which have been mostly used in the published intelligent fault location studies and the obtained results via two different values are compared with each other. …”
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  9. 9
    Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers

    Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers by Uraibi, Hassan S.

    Published 2016
    “…In this situation, the existing Elastic-Net and RE-Net methods are not capable of selecting the important variables in the final model. …”
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  10. 10
    Automated Scaling Region of Interest with Iterative Edge Preserving in Forward-Backward Time-Stepping

    Automated Scaling Region of Interest with Iterative Edge Preserving in Forward-Backward Time-Stepping by Juliana, Binti Nawawi

    Published 2019
    “…Average RE is 61.94% for a circular shape in breast model, meanwhile attains RE of 4.17% for a U-shape object. …”
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  11. 11
    Optimizing solar streetlight systems for sustainable urban and community development

    Optimizing solar streetlight systems for sustainable urban and community development by Jun, L. W., Zabri, Siti Normi, Mohd Kassim, N. S., Mohamad, Sarah Yasmin

    Published 2025
    “…Through these enhancements, the system effectively reduced energy wastage, leading to the identification of the most efficient and practical battery capacity. …”
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  12. 12
    Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm

    Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm by Nejad, Mohsen Fadaee

    Published 2013
    “…Among these methods, Genetic Algorithm and Particle Swarm Optimization are known as two most effective methods for HRESs. …”
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  13. 13
    Improved Boosted Decision Tree Algorithms by Adaptive Apriori and Post-Pruning for Predicting Obstructive Sleep Apnea

    Improved Boosted Decision Tree Algorithms by Adaptive Apriori and Post-Pruning for Predicting Obstructive Sleep Apnea by Sim, Doreen Ying Ying, Teh, Chee Siong, Ahmad Izuanuddin, Ismail

    Published 2018
    “…The novelty of the post-pruning technique applied is that it is augmented by AA properties and these depend on the data characteristics in the dataset(s) being accessed. This algorithm is then boosted by using AdaBoost ensemble method. …”
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  14. 14
    System identification of a solar maximum power point tracking system for dual axis / Thomas Davion, Noorazlina Mohamid Salih and Mohd Shahrizan Mohd Said

    System identification of a solar maximum power point tracking system for dual axis / Thomas Davion, Noorazlina Mohamid Salih and Mohd Shahrizan Mohd Said by Davion, Thomas, Mohamid Salih, Noorazlina, Mohd Said, Mohd Shahrizan

    Published 2019
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  15. 15
    Robust Kernel Density Function Estimation

    Robust Kernel Density Function Estimation by Dadkhah, Kourosh

    Published 2010
    “…The classical kernel density estimation technique is the commonly used method to estimate the density function. …”
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  16. 16
    Retinal image blood vessel extraction and quantification with Euclidean distance transform approach

    Retinal image blood vessel extraction and quantification with Euclidean distance transform approach by Kuryati, Kipli, Mohammed Enamul, Hoque, Lik, Thai Lim, Tengku Mohd Afendi, Zulcaffle, Siti Kudnie, Sahari, Muhammad Hamdi, Mahmood

    Published 2020
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  17. 17
    Effect of corrugated wall combined with backward-facing step channel on fluid flow and heat transfer

    Effect of corrugated wall combined with backward-facing step channel on fluid flow and heat transfer by Hilo, Ali Kareem, Abu Talib, Abd Rahim, Iborra, Antonio Acosta, Hameed Sultan, Mohamed Thariq, Abdul Hamid, Mohd Faisal

    Published 2020
    “…The governing equation was solved using Finite Volume Method (FVM) and the SIMPLE algorithm was applied to investigate the effect of backward-facing step with corrugated downstream on heat transfer characteristics. …”
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  18. 18
    Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques

    Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques by Che Soh, Azura, Mohamad Radzi, Nur Fadzilah, Mohamad Yusof, Umi Kalsom, Ishak, Asnor Juraiza, Hassan, Mohd Khair

    Published 2018
    “…Moreover, several factors might influence the accuracy of the human olfactory system as a sensory panel such as physical and mental conditions. …”
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  19. 19
    Fault-tolerant power extraction strategy for photovoltaic energy systems

    Fault-tolerant power extraction strategy for photovoltaic energy systems by Boutasseta, Nadir, Ramdani, Messaoud, Mekhilef, Saad

    Published 2018
    “…The FDI method is based on monitoring the PV panel generated power for the presence of abrupt changes; the MPPT reconfiguration is based on a combination between Incremental Conductance (IncCond) Algorithm and an Improved Current-based Particle Swarm Optimization (ICPSO) tracking technique. …”
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  20. 20
    Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization

    Intelligent algorithm based modeling of renewable and green energy resources for microgrid optimization by Khamis, Alias

    Published 2025
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