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  1. 1
    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
    “…Among these selected test cases, the algorithm identifies the redundant test cases based on definition occurrence, if they cover a similar combination of branch coverage except in one branch and also if the test cases cover a similar definition occurrence . …”
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  2. 2
    Cluster detection for spatio-temporal dengue cases at Selangor districts using multi-EigenSpot algorithm

    Cluster detection for spatio-temporal dengue cases at Selangor districts using multi-EigenSpot algorithm by Nor, N.H.M., Daud, H., Ullah, S.

    Published 2022
    “…This study aims to detect the spatio-temporal clustering or hotspot regions of dengue cases for the districts of Selangor, Malaysia using a nonparametric algorithm (Multi-EigenSpot) to detect dengue clusters. …”
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  3. 3
    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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  4. 4
    Thalassaemia detection using CBR Algorithm via mobile device

    Thalassaemia detection using CBR Algorithm via mobile device by Nur Faezah, Omar

    Published 2011
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    Undergraduates Project Papers
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  5. 5
    Thalassaemia detection using CBR Algorithm via mobile device

    Thalassaemia detection using CBR Algorithm via mobile device by Nur Faezah, Omar

    Published 2011
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  6. 6
    Similarity distance measure and prioritization algorithm for test case prioritization in software product line testing

    Similarity distance measure and prioritization algorithm for test case prioritization in software product line testing by Abd Halim, Shahliza, Abang Jawawi, Dayang Norhayati, Sahak, Muhammad

    Published 2019
    “…Among the most promising TCP techniques is similarity-based TCP technique which consists of similarity distance measure and prioritization algorithm. The goal of this paper is to propose an enhanced string distance and prioritization algorithm which could reorder the test cases resulting to higher rate of fault detection. …”
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  7. 7
    Early detection and mitigation of DDoS attacks in software defined networks

    Early detection and mitigation of DDoS attacks in software defined networks by Al-Saadi, Mustafa Yahya Zakariya

    Published 2018
    “…The algorithm was written in Python programming language to be implementing on a POX controller. …”
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  8. 8
    Application of weighted average on modal parameters for damage detection algorithms: Case study on steel beam

    Application of weighted average on modal parameters for damage detection algorithms: Case study on steel beam by Fayyadh, M.M., Abdul Razak, H.

    Published 2011
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  9. 9
    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
    “…The core of CS-FuzGA-PTS lies in a new optimization algorithm called CS-FuzGA as a search algorithm. …”
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  10. 10
    DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION

    DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION by JOLENE DIANDRA, JAMES

    Published 2018
    “…Case Study 1 studies three strengths of stiction, which are no stiction (Base Case 1), weak stiction (Case 1.1) and strong stiction (Case 1.2), while Case Study 2 investigates the presence of several sources of process nonlinearities in control loops, which include well-tuned controller (Base Case 2), tight-tuned controller (Case 2.1), presence of external disturbances (Case 2.2) and presence of stiction (Case 2.3).As a result, the proposed method is able to successfully detect and distinguish presence of stiction for both types of inputs at 95% confidence level. …”
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    Final Year Project Report / IMRAD
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  11. 11
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  12. 12
    Comparison between reverse and traditional screening algorithms for syphilis diagnosis in Hospital Universiti Sains Malaysia

    Comparison between reverse and traditional screening algorithms for syphilis diagnosis in Hospital Universiti Sains Malaysia by Sidek, Nurul Azira

    Published 2021
    “…Following the reverse algorithm, 27 (13.11%) cases showed discordant ECLIA and RPR results. …”
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  13. 13
    Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji

    Extended development of a Computer Aided Detection (CAD) system for brain bleed in CT / Muhammad Illyas Abdul Muhji by Muhammad Illyas, Abdul Muhji

    Published 2018
    “…Final output of the algorithm summarise the bleeding detection for all patient in an excel file. …”
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  14. 14
    Modified damage location indices in beam-like structure: Analytical study

    Modified damage location indices in beam-like structure: Analytical study by Fayyadh, M.M., Razak, H.A.

    Published 2011
    “…The modified algorithms are able to detect the damage wherever its location, applying even to cases of multi damage locations. …”
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  15. 15
    Leader election algorithm in 2D torus networks with the presence of one link failure

    Leader election algorithm in 2D torus networks with the presence of one link failure by Refai, M., Sharieh, A., Alshammari, F.

    Published 2010
    “…In this paper we propose a new leader election algorithm in two dimensional torus networks. …”
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  16. 16
    Experimenting the dendrite cell algorithm for disease outbreak detection model

    Experimenting the dendrite cell algorithm for disease outbreak detection model by Mohamad Mohsin, Mohamad Farhan, Hamdan, Abdul Razak, Abu Bakar, Azuraliza

    Published 2014
    “…Besides that, a comparison is made with Cumulative Sum, Exponentially-weighted Moving Average, and Multi Layer Perceptron.From the experiment, the best parameter setting for anthrax outbreak using dendrite cell algorithm is identified whereby it proven can helps the model to produce a good detection result between detection rate and false alarm rate.Since each outbreak disease carries different outbreak characteristic, the parameter setting for different outbreak might be different.…”
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  17. 17
    Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation

    Hybrid Artificial Bee Colony Algorithm for t-Way Interaction Test Suite Generation by Alazzawi, A.K., Rais, H.M., Basri, S.

    Published 2019
    “…The very large number of test cases and time consumption for a test, it is becoming hard to perform exhaustive testing for any software fault detection. …”
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  18. 18
    A comparative study between deep learning algorithm and bayesian network on Advanced Persistent Threat (APT) attack detection

    A comparative study between deep learning algorithm and bayesian network on Advanced Persistent Threat (APT) attack detection by Ooi, Hui Ni, Ab Rahman, Nurul Hidayah

    Published 2021
    “…This means that Multilayer Perceptron algorithm can detect APT attack more accurately. …”
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  19. 19
    Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed

    Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed by Aneesa Ali, Ali Saeed

    Published 2017
    “…A model-driven approach was used for generating abstract test cases from the feasible paths. …”
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  20. 20
    Detection of the spread of Covid-19 in Indonesia using K-Means Clustering Algorithm / Mohammad Yazdi Pusadan ... [et al.]

    Detection of the spread of Covid-19 in Indonesia using K-Means Clustering Algorithm / Mohammad Yazdi Pusadan ... [et al.] by Pusadan, Mohammad Yazdi, Rabbani, Mohammad Abied, Ardiansyah, Rizka, Ngemba, Hajra Rasmita

    Published 2023
    “…The implementation of the K-Means Clustering algorithm for detecting the level of spread of COVID-19 data in Indonesia by using the parameter k=3 is quite good with areas in Indonesia that have a high the spread of COVID-19 and the results of the cluster validity test get silhouette values on O = (Total Case, Total Death) and P = (Total Case, Total Death, Total Recovered) have the same cluster value, which is 0.93 which means the cluster quality is very good.…”
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