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  1. 1
    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique

    Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique by Hardev Singh, Jitvinder Dev Singh

    Published 2015
    “…The variable block matching developed based on four stages which is the video and frame selection, threshold calculation, block size selection and search pattern. …”
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  2. 2
    Optimizing the placement of fire department in Kulim using greedy heuristic and simplex method / Muhammad Abu Syah Mohd Suzaly

    Optimizing the placement of fire department in Kulim using greedy heuristic and simplex method / Muhammad Abu Syah Mohd Suzaly by Mohd Suzaly, Muhammad Abu Syah

    Published 2023
    “…When there are more than two choice variables, the simplex approach is utilized. Both methods were used to find the optimal location for the fire department to be in the selected region. …”
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  3. 3
    A multi-objective parametric algorithm for sensor-based navigation in uncharted terrains

    A multi-objective parametric algorithm for sensor-based navigation in uncharted terrains by Khaksar W., Sahari K.S.M.

    Published 2023
    “…Readings of the sensors will be evaluated to determine the values of four decision variables and the next position of the robot will be selected accordingly. …”
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  4. 4
    Wind power prediction using Artificial Neural Network

    Wind power prediction using Artificial Neural Network by Edik, Septony

    Published 2010
    “…The performance of a network will be determined by its convergence capability, and only the network with the best performance will be selected. As a result, an ANN with the regression value of 0.81881 was developed, which has the ability to predict the wind power for the next hour with 81.881 % accuracy.…”
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  5. 5
    A hybrid serendipity social recommender model / Ahmad Subhi Zolkafly and Rahayu Ahmad

    A hybrid serendipity social recommender model / Ahmad Subhi Zolkafly and Rahayu Ahmad by Zolkafly, Ahmad Subhi, Ahmad, Rahayu

    Published 2020
    “…In the next stage, the classification model is used to classify the data into subclasses by using a deep learning algorithm. …”
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  6. 6
    Technical efficiency performance of Malaysian public research universities: Fuzzy data envelopment analysis / Saber Abdelall Mohamed Ahmed

    Technical efficiency performance of Malaysian public research universities: Fuzzy data envelopment analysis / Saber Abdelall Mohamed Ahmed by Saber Abdelall, Mohamed Ahmed

    Published 2023
    “…By utilizing Fuzzy DEA (FDEA) model with algorithm, this study observes the PRUMs efficiency status during the study period and the expected average efficiency for the next 2021/2022 academic year. …”
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  7. 7
    Wind power prediction using Artificial Neural Network: article

    Wind power prediction using Artificial Neural Network: article by Edik, Septony

    Published 2010
    “…ANN which is inspired by the functional aspects of biological neural networks is employed in this project due to its strong pattern recognition capabilities and its ability to model flexible linear or non-linear relationship among variables. A three layers feed-forward back-propagation neural network has been developed to predict the wind power _for the next hour. …”
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  8. 8
    Enhancing obfuscation technique for protecting source code against software reverse engineering

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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  9. 9
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…Due to the inherent and uncertain variability of the Harumanis features, fuzzy learning algorithm has been designed to classify these fruits similar to the ability of human experts. …”
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  10. 10
    Skyline queries on data with uncertain dimensions for efficient computation

    Skyline queries on data with uncertain dimensions for efficient computation by Mohd Saad, Nurul Husna

    Published 2018
    “…Several independent variables which are scalability, threshold, data distributions, and dimensionality are selected to determine their effects on two dependent variables. …”
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  11. 11
    Zero distortion-based steganography for handwritten signature

    Zero distortion-based steganography for handwritten signature by Iranmanesh, Vahab

    Published 2018
    “…In this thesis, the human handwritten signature is introduced as a novel cover media (c) in conjunction with a steganography algorithm since there is a level of variability (i.e intra-user variability) within handwritten signature samples of an individual. …”
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  12. 12
    Seasonal Aerosol Optical Depth (AOD) variability using satellite data and its comparison over Saudi Arabia for the period 2002–2013

    Seasonal Aerosol Optical Depth (AOD) variability using satellite data and its comparison over Saudi Arabia for the period 2002–2013 by Md. Arfan Ali, Mazen Assiri, Ramzah Dambul

    Published 2017
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  13. 13
    Model predictive control of bidirectional AC-DC converter for energy storage system

    Model predictive control of bidirectional AC-DC converter for energy storage system by Akter, M.P., Mekhilef, Saad, Tan, N.M.L., Akagi, H.

    Published 2015
    “…Subsequently, the switching state that corresponds to the minimum cost function is selected for the next sampling period for firing the switches of the AC-DC converter. …”
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  14. 14
    Design & Development of a Robotic System Using LEGO Mindstorm

    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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  15. 15
    Model predictive control of bidirectional AC-DC converter for energy storage system

    Model predictive control of bidirectional AC-DC converter for energy storage system by Akter P., Mekhilef S., Tan N.M.L., Akagi H.

    Published 2023
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  16. 16
    Multivariate Optimization of Biosynthesis of Triethanolamine-Based Esterquat Cationic Surfactant Using Statistical Algorithms

    Multivariate Optimization of Biosynthesis of Triethanolamine-Based Esterquat Cationic Surfactant Using Statistical Algorithms by Fard Masoumi, Hamid Reza

    Published 2011
    “…The optimized conditions was validated and applied to the synthesis of product. The next objective of the current study was to compare the performance of aforementioned algorithms with regard to predicting ability. …”
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  17. 17
    Crossover and mutation operators of real coded genetic algorithms for global optimization problems

    Crossover and mutation operators of real coded genetic algorithms for global optimization problems by Lim, Siew Mooi

    Published 2016
    “…The strength of the algorithm lies in the fact that it assists the evolution of a population of individuals who would thrive in the survival of the fittest towards the next generation. …”
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  18. 18
    Evaluation of lightning return stroke current using measured electromagnetic fields

    Evaluation of lightning return stroke current using measured electromagnetic fields by Mahdi, Izadi

    Published 2012
    “…However, the improvement of Deindorfer and Uman on the Heidler function with an unknown variable is selected as the general channel base current function. …”
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  19. 19
    Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail

    Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail by Sh. Ismail, Faridah

    Published 2015
    “…Adaptive mechanism adapts the best parameters of current generation for optimum performance in the next generation. A variable rate adapts with the current population environment and therefore increases the searching ability. …”
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  20. 20
    Evaluation of machine learning classifiers in faulty die prediction to maximize cost scrapping avoidance and assembly test capacity savings in semiconductor integrated circuit (IC) manufacturing

    Evaluation of machine learning classifiers in faulty die prediction to maximize cost scrapping avoidance and assembly test capacity savings in semiconductor integrated circuit (IC)... by Mohd Fazil, Azlan Faizal, Mohd Shaharanee, Izwan Nizal, Mohd Jamil, Jastini

    Published 2019
    “…The other group, will use auto machine learning (ML) to run multiple classifiers automatically and only top 3 to be selected for next step. The performance metric used is recall rate at specified precision from ROI breakeven point. …”
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