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  1. 1
    Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim

    Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim by Masmuhallim, Anis Athirah

    Published 2024
    “…The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
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  2. 2
    Systematic analysis on mobile botnet detection techniques using genetic algorithm

    Systematic analysis on mobile botnet detection techniques using genetic algorithm by Rahman M.Z.A., Madihah Mohd Saudi

    Published 2024
    Conference Paper
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  3. 3
    Permission-based fault tolerant mutual exclusion algorithm for mobile Ad Hoc networks

    Permission-based fault tolerant mutual exclusion algorithm for mobile Ad Hoc networks by Zarafshan, Faraneh

    Published 2015
    “…Token-based algorithms depend on circulation of a specific message known as token. …”
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  4. 4
    Computing non-contactable drowsiness monitoring system with mobile machine vision

    Computing non-contactable drowsiness monitoring system with mobile machine vision by Alixson Polumpung, Lorita Angeline, Helen Sin Ee Chuo, Tan, Min Keng, Lim, Kit Guan, Teo, Kenneth Tze Kin

    Published 2022
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  5. 5
    Multi-sensor fusion based on multiple classifier systems for human activity identification

    Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

    Published 2019
    “…The benefit of the proposed multi-sensor fusion is the ability to utilize distinct feature characteristics of individual sensor and multiple classifier systems to improve recognition accuracy. In addition, the study suggests a promising potential of hybrid feature selection approach, diversity-based multiple classifier systems to improve mobile and wearable sensor-based human activity detection and health monitoring system. © 2019, The Author(s).…”
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  6. 6
    Maldroid- attribute selection analysis for malware classification

    Maldroid- attribute selection analysis for malware classification by Rahiwan Nazar, Romli, Mohamad Fadli, Zolkipli, Mohd Zamri, Osman

    Published 2019
    “…Malware authors use android market as a hub for malicious apps and spread malware to users with the intention to threaten privacy; and this has remained undetected due to the weakness in signature-based detection. …”
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  7. 7
    AUTOMATED GUIDED ROBOT (AGR)

    AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

    Published 2007
    “…Compared to manual mobile robots, AGRs require sensors and control systems that generate feedback for the re-evaluation of an unexpected situation and to detect obstacles in the path the AGR is required to follow. …”
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    Final Year Project
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  8. 8
    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah

    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah by Salmah , Fattah

    Published 2022
    “…Next, it establishes the research problems by implementing various existing algorithms using comparative analysis. Based on that analysis, this research suggests a hybrid algorithm: the Multi-Objective Optimisation Genetic Algorithm based on Adaptive Multi-Parent Crossover and Fuzzy Dominance (MOGA-AMPazy). …”
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  9. 9
    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks

    A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks by Salmah Fattah

    Published 2022
    “…Next, it establishes the research problems by implementing various existing algorithms using comparative analysis. Based on that analysis, this research suggests a hybrid algorithm: the Multi-Objective Optimisa­tion Genetic Algorithm based on Adaptive Multi-Parent Crossover and Fuzzy Dominance (MOGA-AMPazy). …”
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  10. 10
    Mobile robot positioning system

    Mobile robot positioning system by Khairulnizam Othman

    Published 2008
    “…Several motion control algorithm using BS2 software was develop to test the capabilities of system mobile motion in Y axis, X axis and other, particular attention is paid to evaluate the ability of the using Odometry to detect and correct positioning of the mobile platforms from 4 point. …”
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  11. 11
    Electroencephalogram signal interpretation system for mobile robot

    Electroencephalogram signal interpretation system for mobile robot by Hasan, Intan Helina

    Published 2013
    “…Based on the analysis and optimization of the datasets, P300 signals are most clear and robust at the midline and parietal area of the scalp, and can be detected at around 500ms after a stimulus. …”
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  12. 12
    Magnetic imaging of ferromagnetic shape with Mobile Hall Sensor Array system

    Magnetic imaging of ferromagnetic shape with Mobile Hall Sensor Array system by Misron, Norhisam, Ng, Wei Shin, Marhaban, Mohammad Hamiruce, Shafie, Suhaidi

    Published 2011
    “…The Mobile Hall Sensor Array system is a dynamic moving device capable of ferromagnetic shape evaluation based on the magnetic flux leakage testing principle. …”
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  13. 13
    Hybrid intelligent approach for network intrusion detection

    Hybrid intelligent approach for network intrusion detection by Al-Mohammed, Wael Hasan Ali

    Published 2015
    “…Hence, there must be substantial improvement in network intrusion detection techniques and systems. Due to the prevailing limitations of finding novel attacks, high false detection, and accuracy in previous intrusion detection approaches, this study has proposed a hybrid intelligent approach for network intrusion detection based on k-means clustering algorithm and support vector machine classification algorithm. …”
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  14. 14
    A wheelchair sitting posture detection system using pressure sensors

    A wheelchair sitting posture detection system using pressure sensors by Mohamad Yusoff, Muhammad Annuar Alhadi, Azmi, Nur Liyana, Nordin, Nor Hidayati Diyana

    Published 2024
    “…A graphical-user interface (GUI) based application was developed using the algorithm with the highest accuracy, DT classifier, to illustrate the result of the posture classification to the wheelchair user for any posture correction to be made in case of improper sitting posture detected.…”
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  15. 15
    Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications

    Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications by Teoh, Ming Xue

    Published 2025
    “…In recent studies, we seen developers and researchers proposing solutions on deep learning algorithms like YOLO, EfficientNet, CNN, MobileNet etc. …”
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  16. 16
    An indoor based push notification for location-based marketing using bluetooth smart ready technology / Nur Farehah Alias

    An indoor based push notification for location-based marketing using bluetooth smart ready technology / Nur Farehah Alias by Alias, Nur Farehah

    Published 2017
    “…There are three algorithm developed for token based alert notification which is tokenization algorithm, token matching algorithm and item identification algorithm. …”
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  17. 17
    Investigation Of Ros Based Vehicle State Estimation With Uncertainties

    Investigation Of Ros Based Vehicle State Estimation With Uncertainties by Siti Nuraini, Che Huhaimi

    Published 2022
    “…Based on different case study ROS play an important role to evaluate mobile robot performance referring to its environment. …”
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    Undergraduates Project Papers
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  18. 18
    Adaptive template matching of photoplethysmogram pulses to detect motion artefact

    Adaptive template matching of photoplethysmogram pulses to detect motion artefact by Lim, Pooi Khoon, Ng, Siew Cheok, Lovell, Nigel Hamilton, Yu, Yong Poh, Tan, Maw Pin, McCombie, Devin, Lim, Einly, Redmond, Stephen James

    Published 2018
    “…The developed algorithm was evaluated against a manually annotated 'gold standard' (GS). …”
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  19. 19
    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)

    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

    Published 2026
    “…The three main objectives are: (i) to develop a malware RGB image-based dataset and classifier using a parallel CNN (PCNN), (ii) to develop an enhanced parallel deep learning (EPDL) model for malware detection (MD) and build a response system (RS) by applying PCNN, and (iii) to evaluate the developed model with previous studies based on the accuracy rate. …”
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  20. 20
    Comprehensive review of drones collision avoidance schemes: challenges and open issues

    Comprehensive review of drones collision avoidance schemes: challenges and open issues by Rezaee, Mohammad Reza, Abdul Hamid, Nor Asilah Wati, Hussin, Masnida, Ahmad Zukarnain, Zuriati

    Published 2024
    “…Our evaluation reveals significant challenges in current drone collision prevention algorithms. …”
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