Search Results - (( some application learning algorithm ) OR ( its application new algorithm ))*

Refine Results
  1. 1

    A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

    Published 2006
    “…An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  2. 2

    Three-term backpropagation algorithm for classification problem by Saman, Fadhlina Izzah

    Published 2006
    “…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
    Get full text
    Get full text
    Thesis
  3. 3
  4. 4

    Development of a genetic algorithm controller for cartesian robot by Ong, Joo Hun

    Published 2008
    “…In some daily tasks such as drilling, laser marking or spot welding application, the Cartesian robot is requested to reach with its hand tip to a desired target location. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  5. 5
  6. 6

    Named entity recognition using a new fuzzy support vector machine. by Mansouri, Alireza, Affendy, Lilly Suriani, Mamat, Ali

    Published 2008
    “…Machine learning method is more famous and applicable than others, because it’s more portable and domain independent. …”
    Get full text
    Get full text
    Article
  7. 7
  8. 8
  9. 9
  10. 10

    Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation by Chen, Soong Der

    Published 2000
    “…Internet has inspired the rapid development of wide range of network application such as Tele-Conferencing, Distance-Learning, Tele-Medicine etc, in which real time video delivery plays an important role. …”
    Get full text
    Get full text
    Thesis
  11. 11
  12. 12
  13. 13

    Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach by Wan Solehah, Wan Ahmad

    Published 2022
    “…Deep Neural Network (DNN) is a combination method between two different subfields of Machine Learning application, including the Artificial Neural Network (ANN) and Deep Learning (DL). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  14. 14

    Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory by Vel Arjunan, Satya Nanda

    Published 2003
    “…However, up to now there has been little further work reported pertaining to its improvements or applications. As a result, this research extends the initial work by examining its potential improvements and applicability in a new real world task such as the protein secondary structure prediction. …”
    Get full text
    Get full text
    Thesis
  15. 15
  16. 16

    Modular deep neural network in reducing overfitting to enhance generalization / Mohd Razif Shamsuddin by Shamsuddin, Mohd Razif

    Published 2024
    “…Machine Learning (ML) and Artificial Intelligence (AI) are a hype in this new age. …”
    Get full text
    Get full text
    Thesis
  17. 17

    Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site by Wanbo, Luo

    Published 2025
    “…Therefore, this thesis explores and studies public hardhat datasets, deep learning algorithms, power Internet of Things (PIoT), and edge computing to address the above issues. …”
    Get full text
    Get full text
    Thesis
  18. 18
  19. 19

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

    Published 2015
    “…To process large-scale data sequences, it is important to choose a suitable learning algorithm that is capable to learn in real time. …”
    Get full text
    Get full text
    Thesis
  20. 20