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  1. 1
    Hierarchical Approach in Clustering to Euclidean Traveling Salesman Problem

    Hierarchical Approach in Clustering to Euclidean Traveling Salesman Problem by Fajar, A., Herman, N. S., Abu, N. A., Sahib, S.

    Published 2011
    “…The significant of this research is clustering approach solution result has error less than 10% compare to best known solution (TSPLIB) and there is improvement to a hierarchical clustering algorithm in order to fit in such Euclidean TSP solution method.…”
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  2. 2
    Clustering Approach In Wireless Sensor Networks Based On K-Means: Limitations And Recommendations

    Clustering Approach In Wireless Sensor Networks Based On K-Means: Limitations And Recommendations by Hassan, Ali Abdul-hussian, Md Shah, Wahidah, Husien, Ali Mohamed, Talib, Mohammed Saad, Mohammed, Ali Abdul Jabbar, Othman, Mohd Fairuz Iskandar

    Published 2019
    “…This algorithm has beneficial in construct the clusters for various real-world applications of WSN.K-means algorithm suffering from many drawbacks that hampering his work.The lack of adequate studies that investigates in the limitations of this algorithm and seek to propose the solutions motivated us to do this study. …”
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  3. 3
    An enhanced cluster head selection algorithm for routing in mobile AD-HOC network

    An enhanced cluster head selection algorithm for routing in mobile AD-HOC network by Abdulsaheb, Ghaida Muttasher

    Published 2017
    “…The performance of ECRP algorithms was compared with other cluster based algorithms. …”
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  4. 4
    Utilizing the roulette wheel based social network search algorithm for substitution box construction and optimization

    Utilizing the roulette wheel based social network search algorithm for substitution box construction and optimization by Kamal Z., Zamli, Alhadawi, Hussam S., Fakhrud Din, .

    Published 2023
    “…This paper introduces a new variant of a recent metaheuristic algorithm based on the Social Network Search algorithm (SNS), which is called the Roulette Wheel Social Network Search algorithm (SNS). …”
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  5. 5
    A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata

    A hybrid approach for personalized news recommendation with ordered clustering algorithm, rich user and news metadata by Darvishy, Asghar

    Published 2019
    “…However, the existing clustering algorithms do not take into consideration the news nature in clustering the news items. …”
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  6. 6
    Enhancement of Ant System Algorithm for Course Timetabling Problem

    Enhancement of Ant System Algorithm for Course Timetabling Problem by Djamarus, Djasli

    Published 2009
    “…For this kind of problem, researchers believe that it will be better to find an approximate solution that can be delivered by a stochastic algorithm than waiting for an exact solution from the deterministic algorithm. …”
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  7. 7
    Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach

    Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohamad Fadhil, Abas, Bayuaji, Luhur

    Published 2022
    “…After that, it has been suggested to improve the efficiencies in the Deep Neural Network (DNN) model by combining the DNN with an unsupervised machine learning algorithm, the K-Means clustering algorithm. This study constructs the flow of DNN based method with the K-Means algorithm. …”
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  8. 8
    Linear programming approach for scheduling sports league problems in Malaysia

    Linear programming approach for scheduling sports league problems in Malaysia by Ahmad Rosdi, Muhammad Ifwat

    Published 2017
    “…In order to solve the formulated LP model, we proposed several solution methods such as simplex and genetics algorithm. …”
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  9. 9
    Constrained clustering approach to aid in remodularisation of object-oriented software systems / Chong Chun Yong

    Constrained clustering approach to aid in remodularisation of object-oriented software systems / Chong Chun Yong by Chong, Chun Yong

    Published 2016
    “…Even if maintainers possess additional information that could be useful to guide and improve the clustering results, traditional clustering algorithms have no way to take advantage of this information. …”
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  10. 10
    A reliable unicast routing protocol for mobile ad hoc network

    A reliable unicast routing protocol for mobile ad hoc network by Sargolzaey, Hadi

    Published 2013
    “…A route is constructed and represented by a sequence of clusters and more reliable links are selected for data transfer inside and between the clusters. …”
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  11. 11
    Parallel Processing of Forward-backward Time-stepping Method for Time Domain Inverse Scattering

    Parallel Processing of Forward-backward Time-stepping Method for Time Domain Inverse Scattering by Kismet, Hong Ping, Moriyama, Toshifumi, Yamaguchi, Yuji, Tanaka, Toshiyuki, Takenaka, Takashi

    Published 2008
    “…A cluster of 8 PCs is constructed and parallel processing is realized using MPI. …”
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  12. 12
    An ensemble of neural network and modified grey wolf optimizer for stock prediction

    An ensemble of neural network and modified grey wolf optimizer for stock prediction by Das, Debashish

    Published 2019
    “…The verification of each solution individually by Modified GWO, instead of considering as a final solution, facilitates the improvement of the exploration. …”
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  13. 13
    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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  14. 14
    UAV-based weed detection in Chinese cabbage using deep learning

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…The acquired images were preprocessed and subsequently segmented into the crop, soil, and weed classes using the Simple Linear Iterative Clustering Superpixel algorithm. The segmented images were then used to construct the CNN-based classifier. …”
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  15. 15
    UAV-based weed detection in Chinese cabbage using deep learning

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…The acquired images were preprocessed and subsequently segmented into the crop, soil, and weed classes using the Simple Linear Iterative Clustering Superpixel algorithm. The segmented images were then used to construct the CNN-based classifier. …”
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  16. 16
    UAV-based weed detection in Chinese cabbage using deep learning

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…The acquired images were preprocessed and subsequently segmented into the crop, soil, and weed classes using the Simple Linear Iterativ Clustering Superpixel algorithm. The segmented images were then used to construct the CNN-based classifier. …”
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  17. 17
    UAV-based weed detection in Chinese cabbage using deep learning

    UAV-based weed detection in Chinese cabbage using deep learning by Ong, Pauline, Soon Teo, Kiat, Sia, Chee Kiong

    Published 2023
    “…The acquired images were preprocessed and subsequently segmented into the crop, soil, and weed classes using the Simple Linear Iterative Clustering Superpixel algorithm. The segmented images were then used to construct the CNN-based classifier. …”
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  18. 18
    UAV-based weed detection in Chinese cabbage using deep learning

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…The acquired images were preprocessed and subsequently segmented into the crop, soil, and weed classes using the Simple Linear Iterative Clustering Superpixel algorithm. The segmented images were then used to construct the CNN-based classifier. …”
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  19. 19
    UAV-based weed detection in Chinese cabbage using deep learning

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…The acquired images were preprocessed and subsequently segmented into the crop, soil, and weed classes using the Simple Linear Iterative Clustering Superpixel algorithm. The segmented images were then used to construct the CNN-based classifier. …”
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  20. 20
    UAV-based weed detection in Chinese cabbage using deep learning

    UAV-based weed detection in Chinese cabbage using deep learning by Pauline Ong, Pauline Ong, Kiat Soon Teo, Kiat Soon Teo, Chee Kiong Sia, Chee Kiong Sia

    Published 2023
    “…The acquired images were preprocessed and subsequently segmented into the crop, soil, and weed classes using the Simple Linear Iterative Clustering Superpixel algorithm. The segmented images were then used to construct the CNN-based classifier. …”
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