Search Results - (( development d waste algorithm ) OR ( java implication based algorithm ))

Refine Results
  1. 1
  2. 2
  3. 3
  4. 4

    Combustion modelling of an industrial municipal waste combustor in Malaysia by Hussain, Ahmad, Ani, Farid Nasir, Sulaiman, Norzalia, Adnan, Mohammed Fadzil

    Published 2006
    “…Computational fluid dynamics (CFD) modelling is now in the development phase of becoming a useful tool for 3D modelling of the complex geometry and flow conditions in incinerators. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5
  6. 6
  7. 7

    Web-Based Route Optimization System For Logistic Using Agglomerative Clustering And Genetic Algorithm by Tan, Chee Kuan

    Published 2020
    “…To solve the system’s current limitations, several improvements like enable user to set priority on the D/O, enable user to add/remove a particular D/O on the planned route, review on others clustering and optimization algorithm can be performed in the future.…”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  8. 8

    Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi by Mohd Ziyadi, Ahmad Zulhilmi

    Published 2014
    “…This research is to automatically determine the holes position, distance and orientation of intramedullary rod in distal locking procedure by using in-process 3D machine vision image recognition system. It is achieve by using special algorithm that detect holes 2D coordinates and average width of intramedullary rod. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Combustion modeling of municipal waste combustor by Hussain, Ahmad, Ani, Farid Nasir, Darus, Amer Nordin, Adnan, Mohammed Fadzil, Surjosatyo, Adi, Mustafa, Azeman, Salema, Arshad A.

    Published 2005
    “…CFD modeling is now in the development phase of becoming a useful tool for 3D modeling of the complex geometry and flow conditions in incinerators. …”
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19

    PREDICTIVE MODELING OF DIMENSIONAL ACCURACIES IN 3D PRINTING USING ARTIFICIAL NEURAL NETWORK by Sivaraos, Kumaran K., Dharsyanth R., Amran M., Shukor S.M., Pujari S., Ramasamy D., Vatesh U.K., Mahdi Al-Obaidi A.S.H., Ramesh S., Lee K.Y.S.

    Published 2024
    “…Experimental data consisting of 27 sets of control parameters and corresponding dimensional outputs were used to train and validate the ANN model. The ANN model was developed using MATLAB software, employing training functions and learning algorithms to optimize the neural network architecture. …”
    Article
  20. 20