Search Results - (( java implication based algorithm ) OR ( learner detection model algorithm ))

  • Showing 1 - 11 results of 11
Refine Results
  1. 1
  2. 2
  3. 3

    An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection by Shing, Chiang Tan, Mohammed Al-Andoli, Mohammed Nasser, Kok, Swee Lim, Pey, Yun Goh, Chee, Peng Lim

    Published 2023
    “…In this paper, we propose an ensemble DL classifier stacked with the Fuzzy ARTMAP (FAM) model for malware detection. The stacked ensemble method uses several heterogeneous deep neural networks as the base learners. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    A parallel ensemble learning model for fault detection and diagnosis of industrial machinery by Shing, Chiang Ta, Mohammed Al-Andoli, Mohammed Nasser, Kok, Swee Sim, Seera, Manjeevan, Chee, Peng Lim

    Published 2023
    “…Composed of three levels of learning, the proposed ensemble model employs two base learners and a meta-learner, and is executed in parallel processing platform to achieve efficient computation. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines by Tahan, M., Muhammad, M., Abdul Karim, Z.A.

    Published 2017
    “…The ability of all the trained networks of the multi-nets model to detect these faulty conditions was investigated. …”
    Get full text
    Get full text
    Article
  6. 6
  7. 7

    Identification Of Flow Blockage Levels In Centrifugal Pump By Machine Learning by Ng, Woon Li

    Published 2021
    “…Besides, Ensemble Bagged Tree and Support Vector Machine (SVM) with cubic kernel has achieved the highest accuracy, which are 95.8% and 94.4%, respectively. SVM model with cubic kernel is preferable as the training time taken is relatively lower than Ensemble Bagged Tree due to the ensemble algorithms are more complex. …”
    Get full text
    Get full text
    Monograph
  8. 8
  9. 9

    A review on security and privacy issues in E-learning and the MapReduce aproach by Noor Akma, Abu Bakar, Mazlina, Abdul Majid, Khalid, Adam, Kirahman, Ab Razak, Noorhuzaimi@Karimah, Mohd Noor

    Published 2019
    “…MapReduce is a promising parallel programming model for processing large data. Then, we proposed e-Learning using MapReduce algorithm in protecting the security and privacy of eLearning. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10
  11. 11