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  1. 1
    Multi-criteria evolutionary regression test prioritization for dynamic object-oriented programs

    Multi-criteria evolutionary regression test prioritization for dynamic object-oriented programs by Bello, Abdulkarim, Md. Sultan, Abubakar, Shehu, Sirajo

    Published 2019
    “…Index terms - Regression testing, multi-criteria, test case, test case prioritization, Python, genetic algorithm.…”
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  2. 2
    Multi-source data fusion framework for remote triaging and prioritization in telemedicine

    Multi-source data fusion framework for remote triaging and prioritization in telemedicine by Salman, Omar Hussein

    Published 2015
    “…As telemedicine consists of three tiers (Sensors/ sources, Base station and Server), the simulation of the proposed frameworks as fusion algorithm in the base station and as healthcare services algorithm in the server was demonstrated. …”
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  3. 3
    A review on classifying and prioritizing user review-based software requirements

    A review on classifying and prioritizing user review-based software requirements by Salleh, Amran, Said, Mar Yah, Osman, Mohd Hafeez, Hassan, Sa’Adah

    Published 2024
    “…Investigating the potential of emerging machine learning models and algorithms to improve classification and prioritization accuracy is crucial. …”
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  4. 4
    Evolutionary cost cognizant regression test prioritization for object-oriented programs based on fault dependency

    Evolutionary cost cognizant regression test prioritization for object-oriented programs based on fault dependency by Bello, AbdulKarim, Md Sultan, Abu Bakar, Abdul Ghani, Abdul Azim, Zulzalil, Hazura

    Published 2018
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  5. 5
    Development of kano model and quality function development integration to assess customer satisfaction and dissatisfaction of service at local public hospital.

    Development of kano model and quality function development integration to assess customer satisfaction and dissatisfaction of service at local public hospital. by Norshahrizan Nordin

    Published 2015
    “…An algorithm of Kano-QFD matrix operation is developed to compose the prioritized complaint and compliment indexes. …”
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    UMK Etheses
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  6. 6
    Late Acceptance Hill Climbing Based Strategy for Test Redundancy Reduction and Prioritization

    Late Acceptance Hill Climbing Based Strategy for Test Redundancy Reduction and Prioritization by Rohani, Abu Bakar, Kamal Z., Zamli, Basem, Al-Kazemi

    Published 2015
    “…LAHCS is the first known strategy that adopts Late Acceptance Hill Climbing Algorithm for test redundancy reduction and prioritization.…”
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    Conference or Workshop Item
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  7. 7
    A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis

    A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis by Tay, Kai Meng, Jee, T.L, Lim, C.P

    Published 2015
    “…The outcomes indicate that the proposed approach is effective in developing an FIS-based RPN model with only a small set of fuzzy rules, which is able to satisfy the monotonicity property for prioritization of failures in FMEA.…”
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  8. 8
    Web-based system for prioritization of research area in FSKM: a web system engineering approach / Mohd Azmeer Omar

    Web-based system for prioritization of research area in FSKM: a web system engineering approach / Mohd Azmeer Omar by Omar, Mohd Azmeer

    Published 2012
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  9. 9
    A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis

    A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis by Tze, Ling Jee, Kai, Meng Tay, Chee, Peng Lim

    Published 2015
    “…The outcomes indicate that the proposed approach is effective in developing an FIS-based RPN model with only a small set of fuzzy rules, which is able to satisfy the monotonicity property for prioritization of failures in FMEA. © 1963-2012 IEEE.…”
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  10. 10
    Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection

    Network Traffic Classification Analysis on Differentiated Services Code Point Using Deep Learning Models for Efficient Deep Packet Inspection by Ahmed Khan, Fazeel, Abubakar, Adamu

    Published 2024
    “…Most of the algorithms got promising results and classify packets based on DSCP accurately. …”
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  11. 11
    Generating driver prioritization for Jabatan Perkhidmatan Awam (JPA) – Malaysia Foresight Institute (MFI) collaboration scenario building workshop using Bayesian technique / Wan Nur Zhulianna Wan Rahmat Asmadi

    Generating driver prioritization for Jabatan Perkhidmatan Awam (JPA) – Malaysia Foresight Institute (MFI) collaboration scenario building workshop using Bayesian technique / Wan Nu... by Wan Rahmat Asmadi, Wan Nur Zhulianna

    Published 2015
    “…Therefore, this project will develop a web-based system that will support the process of prioritizing drivers of a foresight study in Malaysia for the purpose of improving the decision making process in the foresight exercise. …”
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  12. 12
    SUDOKU HELPER

    SUDOKU HELPER by Abdul Razak, Muhammad Asyraf

    Published 2015
    “…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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    Final Year Project
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  13. 13
    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan

    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan by Hamdan, Ezaryf

    Published 2024
    “…The Machine Learning algorithm, comprising Random Forest, Linear Regression, XGBoost, SVM, and Stacking Ensemble, is embedded in the system for job position predictions based on the analysed data. …”
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  14. 14
    A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network

    A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network by Salari, Nader, Shohaimi, Shamarina, Najafi, Farid, Nallappan, Meenakshii, Karishnarajah, Isthrinayagy

    Published 2014
    “…To develop proposed model, with the aim of obtaining the best array of features, first, feature ranking techniques such as the Fisher's discriminant ratio and class separability criteria were used to prioritize features. …”
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  15. 15
    Development of reliability-centered maintenance model using linguistic failure mode and effect analysis

    Development of reliability-centered maintenance model using linguistic failure mode and effect analysis by Mohammed Ahmed Qaid, Alrifaey Moath

    Published 2019
    “…Likewise, current developments in the RCM models are struggling to solve the drawbacks of the traditional RCM, but prioritization of risk factors, multi-objective optimization, and policy selection of maintenance are neglected. …”
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  16. 16
    ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation

    ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation by Hannan M.A., Abdolrasol M.G., Mohamed R., Al-Shetwi A., Ker P., Begum R., Muttaqi K.

    Published 2023
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  17. 17
    A test case generation framework based on UML statechart diagram

    A test case generation framework based on UML statechart diagram by Salman, Yasir Dawood

    Published 2018
    “…Furthermore, the algorithms used for test case generation are not provided or well described. …”
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  18. 18
    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm

    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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  19. 19
    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs

    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
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  20. 20
    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat

    Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat

    Published 2017
    “…The second contribution is an efficient bandwidth allocation algorithm for A-MSDU aggregation called Adaptive Scheduling based Embedded Fuzzy (ASEF) system. …”
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    Book Section
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