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  1. 1

    Wearable based-sensor fall detection system using machine learning algorithm by Ishak, Anis Nadia, Habaebi, Mohamed Hadi, Yusoff, Siti Hajar, Islam, Md. Rafiqul

    Published 2021
    “…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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    Proceeding Paper
  2. 2

    WURFL detection engine using cosine string similarity algortlhm / Illiasaak Ahmad ... [et al.] by Ahmad, Illiasaak, Anak Buja, Alya@Geogiana, Abdullah Sani, Anis Shobirin

    Published 2013
    “…To solve this issue, we proposed a method to help the cloud provides a suitable content for devices. Our method is based on three stages: 1) define the problem formulation for device heterogeneity; 2) model a mathematical equation for device heterogeneity detection; 3) develop a cloud-based device heterogeneity detection algorithm. …”
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    Research Reports
  3. 3

    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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    Thesis
  4. 4

    Android malware detection using permission based static analysis by Mohd Ariffin, Noor Afiza, Casinto, Hanna Pungo

    Published 2023
    “…Android is a mobile operating system that is the most used on smart mobile phones. …”
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    Article
  5. 5

    Android malware detection using permission based static analysis by Mohd Ariffin, Noor Afiza, Casinto, Hanna Pungo

    Published 2024
    “…Android is a mobile operating system that is the most used on smart mobile phones. …”
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    Article
  6. 6

    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…My Ph.d is focusing on constructing a detection system of malicious spam email and DDoS attack using a large number of dataset which are obtained by a server that collect double-bounce email and darknet for malicious spam email detection system and DDoS backscatter detection system, respectively. …”
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    Thesis
  7. 7

    Development of eCall for Malaysia's automotive industries by Abd Musthalib, Mohd Aliff, Mansor, Hasmah, Zainal Abidin, Zulkifli

    Published 2019
    “…For the collision detection, algorithm has been developed based on the data acquired from gyroscope and accelerometer. …”
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    Proceeding Paper
  8. 8

    Qiblah direction: An android application by Sameon S.S., Salleh M.S.B.

    Published 2023
    “…The detection then will lead to the NORTH direction. Using the manual compass calculation (NORTH and scale of the current location) as the algorithm, the manual checking of compass will be transform to the automated Qiblah direction. …”
    Article
  9. 9

    Development of a New Modeling Circuit for the Remote Terminal Unit (RTU) with GSM Communication by Ab Ghani, Mohd Ruddin, Wan Hassan, Wan Ahmas Redhauddin, Mat Hanafiah, Mohd Ariff, Raman, Siti Hajar

    Published 2013
    “…This system involves the detection of fault connected to the microcontroller(PIC18F77A) and GSM modem. …”
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    Conference or Workshop Item
  10. 10
  11. 11

    Moving camera automatic number plate recognition using neural network in android platform by Conny Liew

    Published 2019
    “…Automatic number plate recognition (ANPR) system has been widely used in many applications such as electronic payment gateway system, parking fee payment system, road monitoring system and traffic control system, as named a few. …”
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    Thesis
  12. 12

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. …”
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    Thesis
  13. 13

    Machine learning algorithms in context of intrusion detection by Mehmood, T., Rais, H.B.Md.

    Published 2016
    “…Design of efficient, accurate, and low complexity intrusion detection system is a challenging task. Intrusion detection method is a core of intrusion detection system and it can be either signature based or anomaly based. …”
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    Conference or Workshop Item
  14. 14

    Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system by Maseer, Ziadoon Kamil

    Published 2022
    “…Recently, researchers suggested a deep belief network (DBN) algorithm to construct and build a network intrusion detection system (NIDS) for detecting attacks that have not been seen before. …”
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    Thesis
  15. 15

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. …”
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    Thesis
  16. 16

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…The main contribution of this thesis is it contributes an algorithm of head recognition and detecting which based on image segmentation, Prewitt edge detection and Chain Code algorithm. …”
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    Thesis
  17. 17

    Development of a Raspberry Pi Drowsiness Detection System based on Histogram of Oriented Gradient (HOG) Algorithm and Eye Aspect Ratio (EAR) Formula by Francis Xavier, Sam Daniel

    Published 2020
    “…Therefore, a Raspberry Pi drowsiness detection system based on Histogram of Oriented Gradient (HOG) algorithm and Eye Aspect Ratio (EAR) formula has been developed in this research. …”
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    Final Year Project
  18. 18

    Artificial immune system based on real valued negative selection algorithms for anomaly detection by Khairi, Rihab Salah

    Published 2015
    “…With respect to all the algorithms, V-Detector proved to be superior and surpassed all other algorithms based on performance and execution time.…”
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    Thesis
  19. 19

    Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems by Mohammad Khamees Khaleel, Alsajri

    Published 2022
    “…Most of the currently existing intrusion detection systems (IDS) use machine learning algorithms to detect network intrusion. …”
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    Thesis
  20. 20

    Embedded system based driver drowsiness detection system by Islam S.Z., Mohd Ali M.A., Bin Jidin R., Islam S.Z.

    Published 2023
    “…This paper presents a System-on-Chip (SoC) visual-based driver drowsiness detection system. …”
    Conference paper