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  1. 1

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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    Thesis
  2. 2
  3. 3

    A deep learning approach for facial detection in targeted billboard advertising / Lau Sian En by Lau , Sian En

    Published 2025
    “…This research explores a deep learning-based facial detection system for targeted advertising, aiming to enhance consumer engagement by delivering personalized advertisements. …”
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    Thesis
  4. 4

    Cloudids: Cloud Intrusion Detection Model Inspired By Dendritic Cell Mechanism by Azuan Ahmad, Norbik Bashah Idris, Mohd Nazri Kama

    Published 2024
    “…The experiments show that the Cloud IDS model based on Dendritic Cell algorithm able to identify and detect novel threat that targeting Cloud environment.…”
    Article
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    Quarantine order violators system using Face Recognition (FACID) / Yamunnawahthi Somasundharam, Suraya Abu Bakar and Syifak Izhar Hisham by Yamunnawahthi, Somasundharam, Abu Bakar, Suraya, Izhar Hisham, Syifak

    Published 2024
    “…The system will employ the Histograms of Oriented Gradients (HOG) algorithm for face detection. Additionally, the system will utilize the Face Landmark Algorithm to compare the 128-d vector with images stored locally. …”
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    Article
  7. 7
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    Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli by Rosli, Mohamed Syazwan Asyraf

    Published 2022
    “…Recently, the integration of computer vision and machine learning has given solutions to improve the underwater detection system by using intelligent classifier algorithm in real-time computer vision to detect underwater animals with challenging environments. …”
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    Thesis
  9. 9

    Oil palm USB (Unstripped Bunch) detector trained on synthetic images generated by PGGAN by Wahyu, Sapto Aji, Kamarul Hawari, Ghazali, Son, Ali Akbar

    Published 2023
    “…This contribution holds significant implications for the industry, ensuring further exploration into advanced data synthesis techniques and refining detection models.…”
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    Article
  10. 10

    Evaluation of Security Metric for Artificial Internet of Things Smart Locking System by Siti Nur Hanani, Mohd Rizal

    Published 2023
    “…Modern technologies are being explored and utilise to accomplish this objective. …”
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    Final Year Project / Dissertation / Thesis
  11. 11

    Q-Learning-based detection of IPv6 intrusions: a behavioral and performance study by Daru, April Firman, Hirzan, Alauddin Maulana, Mahmod Attar Bashi, Zainab Senan, Fanani, Fajriannoor

    Published 2025
    “…While numerous studies have proposed intrusion detection systems based on supervised learning models, a critical limitation persists. …”
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    Proceeding Paper
  12. 12

    Nonlinear response prediction of spar platform using artificial neural network / Md. Alhaz Uddin by Md. Alhaz , Uddin

    Published 2012
    “…During oil and gas exploration, floating offshore structures may sometimes be affected by critical environmental forces. …”
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    Thesis
  13. 13

    Halal authentication of alcohol in food and beverages products: a review by Mohamad Ikhiwan, Nur Hanisah, Tukiran, Nur Azira

    Published 2024
    “…Ease of access to information also misleads consumers into false facts on specific issues regarding halal products.…”
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    Article
  14. 14

    Halal authentication of alcohol in food and beverages products: a review / Nur Hanisah Mohamad Ikhiwan and Nur Azira Tukiran by Mohamad Ikhiwan, Nur Hanisah, Tukiran, Nur Azira

    Published 2024
    “…Ease of access to information also misleads consumers into false facts on specific issues regarding halal products.…”
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    Article