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  1. 1
    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
    “…The methodology is based on JavaScript and PHP languages for developing a new technique called DetectCombined capable of filtering queries using parameterized queries to protect against SQL injection which is a safe method. …”
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  2. 2
    Object detection system using haar-classifier

    Object detection system using haar-classifier by Wan Najwa, Wan Ismail

    Published 2009
    “…An algorithm for the design object detection systems is presented. …”
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    Undergraduates Project Papers
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  3. 3
    Comparison of Feature Extractors for Real-Time Object Detection on Android Smartphone

    Comparison of Feature Extractors for Real-Time Object Detection on Android Smartphone by Saipullah, Khairul Muzzammil

    Published 2013
    “…However due to the development of embedded hardware and object detection algorithm, current embedded device may be able to execute the object detection algorithm in real-time. …”
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  4. 4
    ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE

    ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE by Saipullah, Khairul Muzzammil

    Published 2012
    “…However due to the development of embedded hardware and object detection algorithm, current embedded device may be able to execute the object detection algorithm in real-time. …”
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    Conference or Workshop Item
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  5. 5
    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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    Thesis
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  6. 6
    Development of a cost efficient vision system for defects detection / Muhammad Zarif Kamarudin

    Development of a cost efficient vision system for defects detection / Muhammad Zarif Kamarudin by Kamarudin, Muhammad Zarif

    Published 2010
    “…Programming software is required in order to execute the image acquisition and image analysis algorithm. …”
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    Monograph
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  7. 7
    Missing tags detection algorithm for radio frequency identification (RFID) data stream

    Missing tags detection algorithm for radio frequency identification (RFID) data stream by Zainudin, Nur 'Aifaa

    Published 2019
    “…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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    Thesis
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  8. 8
    Embedded vision system development using 32-bit Single Board Computer and GNU/Linux

    Embedded vision system development using 32-bit Single Board Computer and GNU/Linux by Nur Farhan, Kahar

    Published 2011
    “…A significant discovery has been made in this research where the usage of shared memory is proven to save almost half of overall execution time for the embedded vision system. The stationary vehicle detection process is executed on the embedded vision system to evaluate the accuracy of detection made by the system. …”
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    Thesis
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  9. 9
    Development of cost efficient vision system for defects detection / Muhammad Zarif Kamarudin

    Development of cost efficient vision system for defects detection / Muhammad Zarif Kamarudin by Kamarudin, Muhammad Zarif

    Published 2010
    “…Programming software is required in order to execute the image acquisition and image analysis algorithm. …”
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    Thesis
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  10. 10
    Fraud detection in shipping industry based on location using machine learning comparison techniques

    Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

    Published 2023
    “…Speed of detection derived from the speed of model execution is also important for earlier detection of fraudulent cases. …”
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  11. 11
    BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning

    BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning by Chimeleze C., Jamil N., Ismail R., Lam K.-Y., Teh J.S., Samual J., Akachukwu Okeke C.

    Published 2023
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  12. 12
    Human Spontaneous Emotion Detection System

    Human Spontaneous Emotion Detection System by Radin Monawir, Radin Puteri Hazimah

    Published 2018
    “…Having smart computerized system which can understand and instantly gives appropriate response to human is the utmost motive in human and computer interaction (HCI) field.It is argued either HCI is considered advance if human could not have natural and comfortable interaction like human to human interaction.Besides,despite of several studies regarding emotion detection system, current system mostly tested in laboratory environment and using mimic emotion.Realizing the current system research lack of real life or genuine emotion input,this research work comes up with the idea of developing a system that able to recognize human emotion through facial expression.Therefore,the aims of this study are threefold which are to enhance the algorithm to detect spontaneous emotion,to develop spontaneous facial expression database and to verify the algorithm performance.This project used Matlab programming language,specifically Viola Jones method for features tracking and extraction,then pattern matching for emotion classification purpose.Mouth feature is used as main features to identify the emotion of the expression.For verification purpose,the mimic and spontaneous database which are obtained from internet,open source database or novel (own) developed databases are used.Basically,the performance of the system is indicated by emotion detection rate and average execution time.At the end of this study,it is found that this system is suitable for recognizing spontaneous facial expression (63.28%) compared to posed facial expression (51.46%).The verification even better for positive emotion with 71.02% detection rate compared to 48.09% for negative emotion detection rate.Finally,overall detection rate of 61.20% is considered good since this system can execute result within 3s and use spontaneous input data which known as highly susceptible to noise.…”
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  13. 13
    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
    “…Improved dependency detection among faults provides faster feedback to the developers which gives chance to debug leading faults earlier in time. …”
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  14. 14
    Novel detection soft-computing algorithm for structural health monitoring system

    Novel detection soft-computing algorithm for structural health monitoring system by Ng, Kian Theng

    Published 2013
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    Thesis
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  15. 15
    Pengesan lalu lintas dengan kaedah pemerosesan imej

    Pengesan lalu lintas dengan kaedah pemerosesan imej by Riza Atiq O.K.Rahmat, Kasmiran Jumari, Azmi Hassan, Hassan Basri

    Published 2001
    “…This study was conducted to develop efficient traffic detector using image-processing with a personal compute I: Traffic images were captured using ordinary analogue video camera and digitised using a video blastel: Four algorithms were developed i. e. algorithm for traffic counting, algorithm for vehicle classification. algorithm to determine the speed of the counted vehicles and algorithm for incident detection. …”
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  16. 16
    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
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    Conference or Workshop Item
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  17. 17
    Implementation of haar cascade classifier and eye aspect ratio for driver drowsiness detection using raspberry pi

    Implementation of haar cascade classifier and eye aspect ratio for driver drowsiness detection using raspberry pi by Kamarudin, Nora, Jumadi, Nur Anida

    Published 2019
    “…To achieve the aim of the research, the Haar Cascade Classifier algorithm is implemented for eyes and face detection whereas for eyes blink (open and close) detection, the Eye Aspect Ratio (EAR) algorithm is employed. …”
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  18. 18
    802.11 MAC layer sniffer using spoof detection algorithm / Azwan Abdul Satar

    802.11 MAC layer sniffer using spoof detection algorithm / Azwan Abdul Satar by Abdul Satar, Azwan

    Published 2007
    “…This paper present a wireless sniffer monitoring tool, as well as the analysis and development process of constructing it. The goal is to design a wireless sniffer that can automatically detect spoofing and provide simple network statistic. …”
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  19. 19
    Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing

    Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing by Muazu, Aminu Aminu, Hashim, Ahmad Sobri

    Published 2025
    “…Optimization has developed powerful algorithms for solving complex problems efficiently. …”
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  20. 20
    PCB defect detection system using run-length encoding

    PCB defect detection system using run-length encoding by Zakaria, Muhammad Anif

    Published 2017
    “…Nowadays, electronic devices were widely used for the development of the technology. In PCB manufacturing many defects have been detected. …”
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    Student Project
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