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  1. 1
    A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach

    A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach by Puriwat, Lertkrai

    Published 2012
    “…Therefore, this research employed a detection factor based on the evolution algorithm method for text steganalysis. …”
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    Thesis
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  2. 2
    Segmentation of Retinal Vasculature using Active Contour Models (Snakes)

    Segmentation of Retinal Vasculature using Active Contour Models (Snakes) by Pang, Kee Y ong

    Published 2009
    “…Active contour model (snake) that based on level sets, techniques of curve evolution, and Mumford-Shah functional for segmentation is then used to segment out the detected retinal vessel and produce a complete retinal vasculature. …”
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    Final Year Project
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  3. 3
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
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    Monograph
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  4. 4
    Automatic email classification system / Phang Siew Ting

    Automatic email classification system / Phang Siew Ting by Phang , Siew Ting

    Published 2003
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    Thesis
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  5. 5
    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing

    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing by Goh, Kwang Yi

    Published 2023
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  6. 6
    A Machine Learning Classification Application to Identify Inefficient Novice Programmers

    A Machine Learning Classification Application to Identify Inefficient Novice Programmers by Khan I., Al-Mamari A., Al-Abdulsalam B., Al-Abdulsalam F., Al-Khansuri M., Iqbal Malik S., Ahmad A.R.

    Published 2023
    “…Data mining; Graphical user interfaces; Learning algorithms; Machine learning; Nearest neighbor search; Academic performance; Application layers; Computer science students; Educational data mining; Educational Institutes; K-near neighbor; Machine learning classification; Nearest-neighbour; Novice programmer; Productive tools; Students…”
    Conference Paper
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  7. 7
    A new mobile botnet classification based on permission and API calls

    A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

    Published 2024
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  8. 8
    Hybrid data regression model based on the generalized adaptive resonance theory neural network

    Hybrid data regression model based on the generalized adaptive resonance theory neural network by Wong S.Y., Yap K.S., Lim C.P., Lee E.W.M.

    Published 2023
    Article
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  9. 9
    An Analysis Of System Calls Using J48 And JRip For Malware Detection

    An Analysis Of System Calls Using J48 And JRip For Malware Detection by Abdollah, Mohd Faizal, Abdullah, Raihana Syahirah, S. M. M Yassin, S. M. Warusia Mohamed, Selamat, Siti Rahayu, Mohd Saudi, Nur Hidayah

    Published 2018
    “…The evolution of malware possesses serious threat ever since the concept of malware took root in the technology industry.The malicious software which is specifically designed to disrupt,damage,or gain authorized access to a computer system has made a lot of researchers try to develop a new and better technique to detect malware but it is still inaccurate in distinguishing the malware activities and ineffective.To solve the problem,this paper proposed the integrated machine learning methods consist of J48 and JRip in detecting the malware accurately.The integrated classifier algorithm applied to examine,classify and generate rules of the pattern and program behaviour of system call information.The outcome then revealed the integrated classifier of J48 and JRip outperforming the other classifier with 100% detection of attack rate. …”
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  10. 10
    An Analysis Of System Calls Using J48 And JRip For Malware Detection

    An Analysis Of System Calls Using J48 And JRip For Malware Detection by Abdollah, Mohd Faizal, Abdullah, Raihana Syahirah, S.M.M Yassin, S.M. Warusia Mohamed, Selamat, Siti Rahayu, Mohd Saudi, Nur Hidayah

    Published 2018
    “…The malicious software which is specifically designed to disrupt, damage, or gain authorized access to a computer system has made a lot of researchers try to develop a new and better technique to detect malware but it is still inaccurate in distinguishing the malware activities and ineffective. …”
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  11. 11
    Fast Corner Detection in Augmented Reality Learning Management of the Corpse

    Fast Corner Detection in Augmented Reality Learning Management of the Corpse by Undang, Syaripudin, Diena Rauda, Ramdania, Wine, Widiawaty, Wildan Budiawan, Zulfikar, Dian Sa'adillah, Maylawati

    Published 2021
    “…The application also meets 82.8% of the user side's usability level, which indicates that this application is beneficial for learning. …”
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  12. 12
    Development of deep learning based user-friendly interface for fruit quality detection

    Development of deep learning based user-friendly interface for fruit quality detection by Mohd Ali, Maimunah, Hashim, Norhashila

    Published 2024
    “…The implementation of deep learning algorithms has contributed to various applications related to the detection of fruit quality. …”
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  13. 13
    Algorithm visualization design guidelines for mobile leaning

    Algorithm visualization design guidelines for mobile leaning by Supli, Ahmad Affandi, Shiratuddin, Norshuhada

    Published 2018
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    Article
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  14. 14
    Affective computation on EEG correlates of emotion from musical and vocal stimuli

    Affective computation on EEG correlates of emotion from musical and vocal stimuli by Khosrowabadi, Reza, Abdul Rahman, Abdul Wahab, Ang, Kai Keng, H Baniasad, Mohammad.

    Published 2009
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    Proceeding Paper
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  15. 15
    Classification of multichannel EEG signal by single layer perceptron learning algorithm

    Classification of multichannel EEG signal by single layer perceptron learning algorithm by Hasan, Mohammad Rubaiyat, Ibrahimy, Muhammad Ibn, Motakabber, S. M. A., Shahid, Shahjahan

    Published 2014
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    Proceeding Paper
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  16. 16
    NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan

    NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan by Roslan, Muhammad Amirul

    Published 2025
    “…Future enhancements, such as advanced machine learning algorithms and user interface improvements, are proposed to further enhance functionality. …”
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  17. 17
    A New Mobile Botnet Classification based on Permission and API Calls

    A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

    Published 2024
    “…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. The experimental result shows that the Random Forest Algorithm has achieved the highest detection accuracy of 99.4% with the lowest false positive rate of 16.1% as compared to other machine learning algorithms. …”
    Proceedings Paper
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  18. 18
    Hybrid BLEU Algorithm For Structured Exam Management System

    Hybrid BLEU Algorithm For Structured Exam Management System by Zulhana, Zulkifle

    Published 2008
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  19. 19
    Age And Gender Recognition Mobile App

    Age And Gender Recognition Mobile App by Wee, Quo Lung

    Published 2023
    “…Therefore, this study aimed to develop age and gender recognition mobile application using deep learning algorithm. After reviewing existing age and gender recognition mobile app, Convolutional Neural Network (CNN), one of the deep learning algorithms is implement in this proposed system. …”
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    Final Year Project Report / IMRAD
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  20. 20
    ios Mobile Malware Deep Analysis And Classification For Social Media And Online Banking Exploitation

    ios Mobile Malware Deep Analysis And Classification For Social Media And Online Banking Exploitation by Muhammad ‘Afif Bin Husainiamer

    Published 2024
    thesis::master thesis
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