Search Results - (( java implication based algorithm ) OR ( knowledge generation y algorithm ))

  • Showing 1 - 14 results of 14
Refine Results
  1. 1

    Disparity map calculation through epipolar lines estimation for 3D facial reconstruction by Cheddad, Abbas, Setan, Halim, Majid, Zulkepli

    Published 2005
    “…To eliminate this problem and to increase the precision we chose to start with an initial eight matched points to generate the Fundamental Matrix (FM), this is called the 8- Points Algorithm. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9

    Zero distortion-based steganography for handwritten signature by Iranmanesh, Vahab

    Published 2018
    “…To the best of our knowledge, this is the first time that a human handwritten signature sample is used for steganography application. …”
    Get full text
    Get full text
    Get full text
    Thesis
  10. 10
  11. 11
  12. 12
  13. 13

    Solubility enhancement of decitabine as anticancer drug via green chemistry solvent: Novel computational prediction and optimization by Nader Ibrahim Namazi, Sameer Alshehri, Rawan Bafail, Bader Huwaimel, Amal M. Alsubaiyel, Ali H. Alamri, Ahmed D. Alatawi, Hossam Kotb, Mohd Sani Sarjadi, Md. Lutfor Rahman, Mohammed A.S. Abourehab

    Published 2022
    “…One of the two input features is P (bar) and the other is T (k). ADA-DT (Adaboost Algorithm Decision Tree), ADA-LR (Adaboost Algorithm-Linear Regresion), and ADA-GRNN (Generative Regression Neural Network) models showed MAE of 6.54 ˣ 10ˉ⁵, 4.66 10 ˉ⁵, and 8.35 10 ˉ⁵, respectively. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network by Ahmad Afif, Mohd Faudzi

    Published 2012
    “…The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. The learning system was trained on several tasks using simulations or real time learning in order to verify whether flexible recognition could emerge through this context-based word recognition learning.There are two types of problem tasks in this thesis. …”
    Get full text
    Get full text
    Undergraduates Project Papers