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  1. 1
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
    “…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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  2. 2
    An Educational Tool Aimed at Learning Metaheuristics

    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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  3. 3
    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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  4. 4
    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment

    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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  5. 5
    Performance analysis of Software Defined Network (SDN) in link failure scenario

    Performance analysis of Software Defined Network (SDN) in link failure scenario by R.Badlishah, Ahmad, Sakari, M.A.I.M, Yaakob, N, Amir, A, Warip, M.N.M., Ibrahim, Z.

    Published 2019
    “…As SDN decouples data and control planes, routing algorithm is determined by its controller. …”
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  6. 6
    Performance analysis of Software Defined Network (SDN) in link failure scenario

    Performance analysis of Software Defined Network (SDN) in link failure scenario by Badlishah, Ahmad, Sakari, M.A.I.M, Yaakob, N, Amir, A, Mohd Warip, M.N, Ibrahim, Z.

    Published 2019
    “…As SDN decouples data and control planes, routing algorithm is determined by its controller. …”
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  7. 7
    A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai

    A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai by Vivian Koh , Ci Ai

    Published 2020
    “…Heart failure is defined as failure of heart to deliver adequate blood flow rate to support tissue perfusion. …”
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  8. 8
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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  9. 9
    Intelligent PID Controller Tuned by Bacterial Foraging Optimization Algorithm for Vibration Suppression of Horizontal Flexible Structure

    Intelligent PID Controller Tuned by Bacterial Foraging Optimization Algorithm for Vibration Suppression of Horizontal Flexible Structure by Aizat Ikmal, Abd Raof, Muhamad Sukri, Hadi, Intan Zaurah, Mat Darus, Annisa, Jamali, Mat Hussin, Ab Talib, Hanim, Mohd Yatim

    Published 2022
    “…BFO is a metaheuristic approach categorized as an evolutionary algorithm recently developed, and a nature-inspired optimization algorithm. …”
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    Proceeding
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  10. 10
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  11. 11
    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis

    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis by Mohamed Elfaki, Faiz Ahmed

    Published 2004
    “…The work in this thesis is concerned with the development of techniques for the assessment of statistical process control in data that include censored observations. …”
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  12. 12
    A Novel Approach Of Groebner Bases Computation For Safety Analysis Of Distributed Discrete Controllers

    A Novel Approach Of Groebner Bases Computation For Safety Analysis Of Distributed Discrete Controllers by Alwi @ Suhaimi, Saifulza, Salleh, Mohd Rizal, Jaafar, Hazriq Izzuan, Ab Ghani, Mohd Ruddin, Md Fauadi, Muhammad Hafidz Fazli

    Published 2019
    “…Any failure of these process control systems might not only result in a significant financial loss but also lead to casualties as well. …”
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  13. 13
    Diesel Engine Control And In-Cylinder Peak Pressure Monitoring System Using Raspberry PI

    Diesel Engine Control And In-Cylinder Peak Pressure Monitoring System Using Raspberry PI by Yeo, Ying Heng

    Published 2019
    “…A simple closed loop algorithm is developed to control the start of injection timing (SOI) of a single cylinder diesel engine using the ECU. …”
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  14. 14
    Ant colony optimization for controller and sensor-actuator location in active vibration control

    Ant colony optimization for controller and sensor-actuator location in active vibration control by Md Nor, Khairul Affendy, Abdul Muthalif, Asan Gani, Wahid, Azni N.

    Published 2013
    “…The main focus is to find the optimal location of the collocated sensor-actuatorand controller gains using a swarm intelligent algorithm called Ant Colony Optimization (ACO) which later verified with Genetic Algorithm (GA). …”
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  15. 15
    Intelligent DNA signature detection for internet worms

    Intelligent DNA signature detection for internet worms by Ghazali, Osman

    Published 2011
    “…Active worms spread in an automated fashion flooding the Internet in a very short time.Slammer worm infected more than 90% of vulnerable machines within 10 minutes on January 25th, 2003.Hence it is necessary to monitor and detect the worms as soon as they are introduced to minimize the damage caused by them.This project concentrates on developing an anti-scanning worm detection system that can automatically detect and control the spread of internet scanning worms without any manual intervention.The Intelligent Failure Connection Algorithm (IFCA) developed in this project can detect both stealth and normal worms within a short time.Experiments conducted as part of the evaluation shows that IFCA detects a worm within two scanning cycles of the worm.This is faster than any of the currently available algorithms or mechanisms reported in the literature.The IFCA uses Artificial Immune System (AIS) for the purpose of monitoring and detecting the worms.The Traffic Signature Algorithm (TSA) developed in the project captures the traffic signature of the worm from the infector when it sends the traffic to the victim.The Intelligent DNA Signature Detection Algorithm (IDNASDA) algorithm works by breaking an infection session into different infection phases, each phase containing a number of different traffic such as Internet Control Message Protocol (ICMP), Transmission Control Protocol (TCP), or User Datagram Protocol (UDP).Finally it converts the traffic signature to DNA signature.The tests carried out show that the IDNASD could detect DNA signature for MSBlaster worm.…”
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  16. 16
    Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory

    Modelling and analysis of sensor fault tolerant control using behavioral approach to systems theory by Ng, Peng Hong

    Published 2015
    “…Mathematical models of the plants are first derived through the description of the manifest behavior by elimination of the latent variables via a systematic algorithm. Next, the algorithms for obtaining controllers using pole placement techniques are developed based on specified nominal control laws to retain all the desirable trajectories in the plant behavior while rejecting the undesirable ones. …”
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  17. 17
    Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals

    Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals by Ahmed, Ahmed Elsayed Elmahdy

    Published 2014
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    Final Year Project
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  18. 18
    Interactive control algorithm based on real-time solar irradiance forecasting model for standalone photovoltaic system

    Interactive control algorithm based on real-time solar irradiance forecasting model for standalone photovoltaic system by Mohd Shah, Ahmad Syahiman, Azri, Idris, Jadin, Mohd Shawal, Mohd Rashid, Muhammad Ikram, Mohd Saifizi, Saidon

    Published 2019
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    Research Report
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  19. 19
    Talkout : Protecting mental health application with a lightweight message encryption

    Talkout : Protecting mental health application with a lightweight message encryption by Gavin Teo Juen

    Published 2022
    “…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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    Academic Exercise
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  20. 20
    Redundancy allocation for a high security control system using estimation of distribution algorithm

    Redundancy allocation for a high security control system using estimation of distribution algorithm by Melo, Haydee, Watada, Junzo, Prof.

    Published 2012
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