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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
    “…The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. …”
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  3. 3
    Genetic algorithm based ensemble framework for sentiment analysis

    Genetic algorithm based ensemble framework for sentiment analysis by Lai, Po Hung

    Published 2018
    “…Since there are many methods involved in each task of the multilayered ensemble, genetic algorithm is added to optimize the overall framework in order to select the optimal combinations of methods in each layer that can produce satisfactory results. …”
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  4. 4
    Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri

    Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri by Mohd Zamri, Muhammad Azrill

    Published 2017
    “…The proposed technique is obtained by combining artificial immune network (aiNET) and clonal selection algorithm (CLONALG). Myers-Briggs Type Indicator is also used as a psychological assessment mechanism in the selection process to enhance the accuracy of the proposed technique. …”
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  5. 5
    An improved diabetes risk prediction framework : An Indonesian case study

    An improved diabetes risk prediction framework : An Indonesian case study by Sutanto, Daniel Hartono

    Published 2018
    “…Pre-processing resolves the issue of missing data and hence normalizes the data.Outlier treatment employs k-mean clustering to validate the class.Suitable components were selected through comparison of classifier algorithms and feature selection.Attribute weighting based feature selection was selected for assigning weightage.Weighted risk factor was used on training dataset in order to improve accuracy and computation time of the prediction. …”
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  6. 6
    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data

    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data by Qadir Saraf, Tara Othman, Fuad, Norfaiza, Md Taujuddin, Nik Shahidah Afifi

    Published 2023
    “…In order to fill this gap, this article proposes a novel framework for comparing various variants of variable length-searching meta-heuristic algorithms in the application of feature selection. …”
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  7. 7
    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data

    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data by Qadir Saraf, Tara Othman, Fuad, Norfaiza, Md Taujuddin, Nik Shahidah Afifi

    Published 2023
    “…In order to fill this gap, this article proposes a novel framework for comparing various variants of variable length-searching meta-heuristic algorithms in the application of feature selection. …”
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  8. 8
    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data

    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data by Qadir Sara, Tara Othman, Fuad, Norfaiza, Md Taujuddin, Nik Shahidah Afifi

    Published 2023
    “…In order to fill this gap, this article proposes a novel framework for comparing various variants of variable length-searching meta-heuristic algorithms in the application of feature selection. …”
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  9. 9
    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy

    Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

    Published 2019
    “…The experimental results show that the proposed feature selection framework performed better when compared to other state-of-the-art feature selection algorithms. …”
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  10. 10
    Implementation of perez-dumortier calibration algorithm

    Implementation of perez-dumortier calibration algorithm by Jedol Dayou, Chang, Jackson Hian Wui, Justin Sentian

    Published 2014
    “…The implementation of the filtration procedure in step-by-step is discussed to render better framework of the proposed calibration algorithm. …”
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  11. 11
    A framework for implementing asynchronous replication scheme in utility-based computing environment

    A framework for implementing asynchronous replication scheme in utility-based computing environment by Wan Nor Shuhadah, W.N., Zhou, B.B., Zomaya, A.Y., Abawajy, J.H.

    Published 2016
    “…Our experiments show that the proposed framework is capable to become a platform of an effective resource selection scheme and achieve a good result with good system performance as compared to existing algorithms.…”
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  12. 12
    Edge assisted crime prediction and evaluation framework for machine learning algorithms

    Edge assisted crime prediction and evaluation framework for machine learning algorithms by Adhikary, Apurba, Murad, Saydul Akbar, Munir, Md Shirajum, Choong Seon, Hong Seong

    Published 2022
    “…In particular, this study proposes a crime prediction and evaluation framework for machine learning algorithms of the network edge. …”
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  13. 13
    A new framework for geospatial site selection using artificial neural networks as decision rules: a Case study on landfill sites

    A new framework for geospatial site selection using artificial neural networks as decision rules: a Case study on landfill sites by Abujayyab, Sohaib K. M., Ahamad, Mohd Anusi S., Yahya, Ahmad Shukri, H. Y. Saad, Abdul Malik

    Published 2015
    “…Specifically, ANNs are decision rules implemented to enhance conventional GSS frameworks. …”
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  14. 14
    Multi-population kidney-inspired algorithm with migration policy selections for feature selection problems

    Multi-population kidney-inspired algorithm with migration policy selections for feature selection problems by Najmeh Sadat Jaddi, Salwani Abdullah, Say leng goh, Mohd Zakree Ahmad Nazri, Zalinda Othman, Mohammad Kamrul Hasan, Fatemeh Alvankarian

    Published 2025
    “…This study introduces two novel migration policies in multi-population version of kidney-inspired algorithm (KA) to address this dilemma. The initial algorithm, coded as MultiPop-KA, implements a predetermined migration policy. …”
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  15. 15
    Development of a task-oriented, auction-based task allocation framework for a heterogeneous multirobot system

    Development of a task-oriented, auction-based task allocation framework for a heterogeneous multirobot system by Tan, Eijyne, Rishwaraj, G., Ponnambalam, S. G.

    Published 2020
    “…The framework involved a task allocation algorithm, which consists of bid generation and bid selection process, and a TCP/IP-based client-server communication module. …”
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  16. 16
    Classification of herbs plant diseases via hierachical dynamic artificial neural network after image removal using kernel regression framework

    Classification of herbs plant diseases via hierachical dynamic artificial neural network after image removal using kernel regression framework by Abdullah, Lili Nurliyana, Khalid, Fatimah, Borhan, N.M.

    Published 2011
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  17. 17
    A COLLABORATIVE FRAMEWORK FOR ANDROID MALWARE IDENTIFICATION USING DYNAMIC ANALYSIS

    A COLLABORATIVE FRAMEWORK FOR ANDROID MALWARE IDENTIFICATION USING DYNAMIC ANALYSIS by Thayaaleni, Rajandran

    Published 2019
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    Final Year Project Report / IMRAD
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  18. 18
    A new framework for multi-partition finite state machine low power design based on genetic algorithm

    A new framework for multi-partition finite state machine low power design based on genetic algorithm by Masoumidezfouli, Seyedhossein

    Published 2018
    “…Therefore, by using such techniques, an innovative multi-partitioning solution can be achieved for a low-power FSM design using the GA algorithm. This dissertation proposes a new framework to a multi-partitioning approach to implement FSMs, which aims to improve low power design. …”
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  19. 19
    New filtering framework for web personalization search / Anitawati Mohd Lokman and Aishah Ahmad

    New filtering framework for web personalization search / Anitawati Mohd Lokman and Aishah Ahmad by Mohd Lokman, Anitawati, Ahmad, Aishah

    Published 2012
    “…This algorithm can be implemented in both website and search engine.…”
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    Research Reports
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  20. 20
    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh

    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

    Published 2015
    “…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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