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  1. 1
    Adaptive interference canceller using analog algorithm with offset voltage

    Adaptive interference canceller using analog algorithm with offset voltage by Mohammed, Alaa Hadi

    Published 2015
    “…In addition, the proposed algorithm has simple computational requirements that make it practically easy to be implemented. …”
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  2. 2
    Statistical approach on grading the student achievement via mixture modelling

    Statistical approach on grading the student achievement via mixture modelling by Md. Desa, Zairul Nor Deana, Mohamad, lsmail

    Published 2006
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  3. 3
    Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network

    Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network by Bujal, Noor Ropidah

    Published 2022
    “…The results showed that the Firefly Algorithm (FA) performs much better for the optimal allocation and sizing of DG compared to the other metaheuristic techniques, particularly based on convergence characteristics and standard deviation. …”
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  4. 4
    An Empirical Study on the Construction of A Non-Convex Risk Parity Portfolio using a Genetic Algorithm

    An Empirical Study on the Construction of A Non-Convex Risk Parity Portfolio using a Genetic Algorithm by Kusumawati, Rosita, Rosadi, Dedi, Abdurakhman, Abdurakhman

    Published 2025
    “…Using stock price data from companies listed on the Jakarta Islamic Index (JII), we demonstrate that the GA, although yielding a solution that slightly deviates from the ideal equal-risk-contribution, offers a more efficient and practical approach than SCRIP. …”
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  5. 5
    Coordinate-Descent Adaptation over Hamiltonian Multi-Agent Networks

    Coordinate-Descent Adaptation over Hamiltonian Multi-Agent Networks by Azam Khalili, Vahid Vahidpour, Amir Rastegarnia, Ali Farzamnia, Teo, Kenneth Tze Kin, Saeid Sanei

    Published 2021
    “…The incremental least-mean-square (ILMS) algorithm is a useful method to perform distributed adaptation and learning in Hamiltonian networks. …”
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  6. 6
    Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems

    Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems by Hassan, Ayat Saleh

    Published 2019
    “…After evaluating the robustness and efficiency of the algorithms in finding minimum power losses value, the results showed that the power losses value by PSO is lower than GA and PSO which gave the smallest standard deviation value compared to the GA algorithm and after finding the average time for each algorithm in which it can be said that the PSO is faster than the GA algorithms.…”
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  7. 7
    Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances

    Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances by Kasilingam G., Pasupuleti J., Bharatiraja C., Adedayo Y.

    Published 2023
    “…The simulation results indicate that when compared to other available methods, the BBO algorithm damps out low-frequency oscillations in the synchronous machine rotor in an effective manner. …”
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  8. 8
    Identifying multiple outliers in linear functional relationship model using a robust clustering method

    Identifying multiple outliers in linear functional relationship model using a robust clustering method by Adilah Abdul Ghapor, Yong Zulina Zubairi, Al Mamun, Sayed Md., Siti Fatimah Hassan, Elayaraja Aruchunan, Nurkhairany Amyra Mokhtar

    Published 2023
    “…Application in real data also shows that the proposed clustering method for this linear functional relationship model successfully detects the outliers, thus suggesting the method’s practicality in real-world problems.…”
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  9. 9
    Hybrid genetic algorithm with multi-parents recombination for job shop scheduling problems / Ong Chung Sin

    Hybrid genetic algorithm with multi-parents recombination for job shop scheduling problems / Ong Chung Sin by Ong, Chung Sin

    Published 2013
    “…Metaheuristic is one of the “approximation methods” that is able to find practically acceptable solutions especially for large-scale problems within a limited amount of time. …”
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  10. 10
    Impact of BPL penalty functions and PSF models in PET/CT radial spatial resolution recovery

    Impact of BPL penalty functions and PSF models in PET/CT radial spatial resolution recovery by Si, Wang Jie

    Published 2024
    “…Conclusion: OSEM+TOF+PSF+BPL (β200) reconstruction algorithms is suggested to be the optimum reconstruction algorithm that can be practiced by NCI in clinical setting due to best radial spatial resolution recovery even with increased of radial distances.…”
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  11. 11
    Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models

    Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models by Mohd Aris, M.N., Daud, H., Mohd Noh, K.A., Dass, S.C.

    Published 2022
    “…Seabed logging (SBL) is an application of controlled-source electromagnetic (CSEM) waves to discover marine hydrocarbon-filled reservoirs based on the resistivity contrast of subsurface underneath the seabed. Current practice for processing marine CSEM responses utilizes meshes-based algorithms. …”
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  12. 12
    Handling highly imbalanced output class label: a case study on Fantasy Premier League (FPL) virtual player price changes prediction using machine learning / Muhammad Muhaimin Khamsan and Ruhaila Maskat

    Handling highly imbalanced output class label: a case study on Fantasy Premier League (FPL) virtual player price changes prediction using machine learning / Muhammad Muhaimin Khams... by Khamsan, Muhammad Muhaimin, Maskat, Ruhaila

    Published 2019
    “…This paper compared between the baseline (original) dataset, SMOTE-applied dataset and shuffled, linear and stratified sampling in split train-test subset, based on a deep learning algorithm. This paper also proposed criteria of low values in standard deviation (distribution of true positive on each class label on accuracy) as a measurement for finding the best method in handling imbalanced class labels. …”
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  13. 13
    Machine learning methods to predict and analyse unconfined compressive strength of stabilised soft soil with polypropylene columns

    Machine learning methods to predict and analyse unconfined compressive strength of stabilised soft soil with polypropylene columns by Hoque, Md. Ikramul, Muzamir, Hasan, Islam, Md Shofiqul, Houda, Moustafa, Abdallah, Mirvat, Sobuz, Md. Habibur Rahman

    Published 2023
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  14. 14
    A two-stage learning convolutional neural network for sleep stage classification using a filterbank and single feature

    A two-stage learning convolutional neural network for sleep stage classification using a filterbank and single feature by Mehdi Abdollahpour, Tohid Yousefi Rezaii, Ali Farzamnia, Ismail Saad

    Published 2022
    “…The proposed algorithm by utilizing simple and effective methods improved sleep stage classification results by achieving an overall accuracy of 93.48%, 93.14% and 83.55%, respectively. …”
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  15. 15
    An enhanced sequential exception technique for semantic-based text anomaly detection

    An enhanced sequential exception technique for semantic-based text anomaly detection by Taiye, Mohammed Ahmed

    Published 2019
    “…Text anomaly detection identifies deviating information from general information contained in documents. …”
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  16. 16
    Characterization of digital intra-oral dental radiographs based on image enhancement algorithms (IEAs) / Siti Arpah Ahmad

    Characterization of digital intra-oral dental radiographs based on image enhancement algorithms (IEAs) / Siti Arpah Ahmad by Ahmad, Siti Arpah

    Published 2017
    “…Dentists come from different background in terms of experience, place of study, method of practices and emotional quotient. These are some of the factors that may cause difference of opinion among dentists. …”
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  17. 17
    Correcting blue-shift in single-image dehazing via haze-compensated Von Kries adaptation

    Correcting blue-shift in single-image dehazing via haze-compensated Von Kries adaptation by Abdullah, Asniyani Nur Haidar, Mohd Rahim, Mohd Shafry, Sim, Hiew Moi, Draman @ Muda, Azah Kamilah, Basori, Ahmad Hoirul, Yudistira, Novanto

    Published 2025
    “…Unlike learning-based color correction approaches, HCCVK does not require training data, is computationally efficient, and maintains algorithmic interpretability, making it suitable for practical deployment. …”
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  18. 18
    Time-Uncertainty Analysis by Using Simulation in Project Scheduling Networks

    Time-Uncertainty Analysis by Using Simulation in Project Scheduling Networks by Mohammed Omer, Anwar

    Published 1999
    “…Dealing with risk management in construction is now essential for minimizing losses and to enhance profitability. (2) It is very dangerous to rely only on PERT/CPM conventional techniques in scheduling projects. (3) To use floats, as stated by traditional resource allocation method, is not practicable. (4) For a project network, the likelihood completion date of a project is exactly equal to the product of the probabilities of each path, separately, with respect to a project completion date. …”
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  19. 19
    Intelligent fault diagnosis for broken rotor bar using wavelet packet signature analysis

    Intelligent fault diagnosis for broken rotor bar using wavelet packet signature analysis by Zolfaghari, Sahar

    Published 2016
    “…The fault detection and classification algorithm is carried out under the unknown dataset and the off-line testing results with 98.8% classification accuracy indicate good reliability of the proposed method in identifying broken rotor bars severity.…”
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  20. 20
    Finite Element Simulation and Analysis of Femoral Head Replacement

    Finite Element Simulation and Analysis of Femoral Head Replacement by Asgari, Seyed Alireza

    Published 2003
    “…This region wa s sub-trochanter and wa s concluded to practically be the weak point of this type of implant. …”
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