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  1. 1
    Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali

    Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali by Mohd Ali, Nurul Amira

    Published 2020
    “…The objectives of the project are to design and develop a prototype of adaptive Glioblastoma detection using Evolutionary-based algorithm to assist in detecting brain tumor and also to test the prototype’s functionality and detection accuracy. …”
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  2. 2
    Minimization of Test Cases and Fault Detection Effectiveness Improvement through Modified Reduction with Selective Redundancy Algorithm

    Minimization of Test Cases and Fault Detection Effectiveness Improvement through Modified Reduction with Selective Redundancy Algorithm by Nikfal, Shima

    Published 2007
    “…Moreover, the results reveal that test suit minimization based on branch combination is effective in term of faults detection.…”
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  3. 3
    March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults

    March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults by Mat Isa, Masnita

    Published 2012
    “…Therefore, this thesis proposed a new two phase algorithm based on March tests to specifically distinguish the two faults. …”
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  4. 4
    Improving test efficiency through multiple criteria coverage based test case prioritization using modified heuristic algorithm

    Improving test efficiency through multiple criteria coverage based test case prioritization using modified heuristic algorithm by Joseph, A.K., Radhamani, G., Kallimani, V.

    Published 2016
    “…The fault detection capability of a prioritized test suite is improved up to 15 using Modified PSO which forms the base algorithms for prioritization. …”
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  5. 5
    Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis

    Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis by Siti Nur Hidayah, Mazelan

    Published 2022
    “…This project’s objectives are to implement rule-based algorithm method for abnormal pattern detection in PPG signals, and to investigate the accuracy and performance of rule-based algorithm in detecting the abnormal pattern. …”
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  6. 6
    Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer

    Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer by Iqbal Basheer, Muhammmad Yunus

    Published 2023
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  7. 7
    Analysis of disturb coupling faults coverage by the March AZ2 algorithm in memory BIST

    Analysis of disturb coupling faults coverage by the March AZ2 algorithm in memory BIST by Md Zin, Ahmad Ridhwan, Jidin, Aiman Zakwan, Razaidi, Hussin, Mispan, Mohd Syafiq

    Published 2024
    “…It identifies the existence of sensitizer and detector test operations for each CFds fault primitive within the March AZ2 algorithm’s test sequence based on the described detection requirements. …”
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  8. 8
    UAV collision detection algorithm design based on circle overlapping test

    UAV collision detection algorithm design based on circle overlapping test by Radzi, N.F.M., Mubin, M., Rahim, N.A., Mokhtar, N.

    Published 2012
    “…This paper proposes a design of collision avoidance algorithm for unmanned aerial vehicle based on circle overlapping test. …”
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  9. 9
    An Innovative Signal Detection Algorithm in Facilitating the Cognitive Radio Functionality for Wireless Regional Area Network Using Singular Value Decomposition

    An Innovative Signal Detection Algorithm in Facilitating the Cognitive Radio Functionality for Wireless Regional Area Network Using Singular Value Decomposition by Mohd. Hasbullah, Omar

    Published 2011
    “…The detection algorithm was developed analytically by applying the Signal Detection Theory (SDT) and the Random Matrix Theory (RMT). …”
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  10. 10
    March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults

    March-based SRAM diagnostic algorithm for distinguishing stuck-at and transition faults by Mihai, Masnita, Wan Hassan, Wan Zuha, Sidek, Roslina, Abdul Halin, Izhal

    Published 2009
    “…March tests have been widely used for detecting functional faults during SRAM testing. …”
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  11. 11
    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory

    Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory by Rusli, Julie Roslita

    Published 2011
    “…Moreover, most of the memory test algorithm does not have the capability to detect and diagnose NPSF. …”
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  12. 12
    An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition

    An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition by Moayad, Yousif Potrus, Ngah, Umi Kalthum, Bestoun S. , Ahmed

    Published 2014
    “…This paper highlights a novel strategy for online Arabic text recognition using a hybrid Genetic Algorithm (GA) and Harmony Search algorithm (HS). The strategy is divided into two phases: text segmentation using dominant point detection, and recognition-based segmentation using GA and HS. …”
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  13. 13
    CS-FuzGA-PTS: Maximizing fault detection through optimizing t-way test suite prioritization based on boundary value analysis

    CS-FuzGA-PTS: Maximizing fault detection through optimizing t-way test suite prioritization based on boundary value analysis by Abdullah, Nasser, Kader, Md Abdul, Alsewari, Abdulrahman A., Suliman, Mohamed Fati, Abdullah, Nibras, Diaba, Sayawu Yakubu, Jabbar, Waheb A.

    Published 2024
    “…Given the important role of each individual test case in the overall testing process, a Prioritized Test Suite (PTS) plays a vital role in optimizing testing resources, achieving maximum fault detection, and providing comprehensive test coverage. …”
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  14. 14
    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak

    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak by Dak, Ahmad Yusri

    Published 2019
    “…It involves development of Max-Min Rule-Based Classification Algorithm. The fourth stage is to design evaluation methodology of Max-Min Rule-Based Classification Algorithm using classifier model. …”
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  15. 15
    Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction

    Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Dheyab, Saad Ahmed, Mohammed Abdulameer, Shaymaa, Mostafa, Salama A

    Published 2022
    “…Subsequently, DDoS attack detection is performed based on random forest (RF) and decision tree (DT) algorithms. …”
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  16. 16
    Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction

    Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Dheyab, Saad Ahmed, Mohammed Abdulameer, Shaymaa, Mostafa, Salama A.

    Published 2022
    “…Subsequently, DDoS attack detection is performed based on random forest (RF) and decision tree (DT) algorithms. …”
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  17. 17
    Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction

    Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Ahmed Dheyab, Saad, Mohammed Abdulameer, Shaymaa, Mostafa, Salama A

    Published 2022
    “…Subsequently, DDoS attack detection is performed based on random forest (RF) and decision tree (DT) algorithms. …”
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  18. 18
    Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction

    Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Dheyab, Saad Ahmed, Mohammed Abdulameer, Shaymaa, Mostafa, Salama

    Published 2022
    “…Subsequently, DDoS attack detection is performed based on random forest (RF) and decision tree (DT) algorithms. …”
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  19. 19
    Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction

    Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Dheyab, Saad Ahmed, Mohammed Abdulameer, Shaymaa, Mostafa, Salama

    Published 2023
    “…Subsequently, DDoS attack detection is performed based on random forest (RF) and decision tree (DT) algorithms. …”
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  20. 20
    The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases

    The effect of replacement strategies of genetic algorithm in regression test case prioritization of selected test cases by Musa, Samaila, Md Sultan, Abu Bakar, Abd Ghani, Abdul Azim, Baharom, Salmi

    Published 2015
    “…Design-based regression testing approaches have been proposed to address changes at higher levels of abstraction, these approaches may not detect changes in the method body and several of the code based addresses procedural programs. …”
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