Search Results - (( java implication based algorithm ) OR ( programming line tree algorithm ))

  • Showing 1 - 18 results of 18
Refine Results
  1. 1

    Optimizing tree planting areas through integer programming and improved genetic algorithm by Md Badarudin, Ismadi

    Published 2012
    “…Therefore, a hybrid algorithm through an incorporation of Integer Programming and Improved Genetic Algorithm was proposed for planting lining design. …”
    Get full text
    Get full text
    Thesis
  2. 2
  3. 3
  4. 4

    Classification model for hotspot occurrences using spatial decision tree algorithm by Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin

    Published 2013
    “…The ID3 algorithm which is originally designed for a non-spatial dataset has been improved to construct a spatial decision tree from a spatial dataset containing discrete features (points, lines and polygons). …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5
  6. 6

    Decision tree method for fault causes classification based on rms-dwt analysis in 275 kv transmission lines network by Asman S.H., Aziz N.F.A., Amirulddin U.A.U., Kadir M.Z.A.A.

    Published 2023
    “…This paper presents a statistical algorithm for classification of fault causes on power transmission lines. …”
    Article
  7. 7
  8. 8

    Designing of disparity map based on hierarchical dynamic programming using satellite stereo imagery by Qayyum, A., Malik, A.S., Naufal, M., Saad, M., Mazher, M., Rasheed, W., Abdullah, T.A.R.B.T.

    Published 2016
    “…Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. …”
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9

    Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles by Qayyum, A., Malik, A.S., Naufal, M., Saad, M., Iqbal, M., Ahmad, R.F., Abdullah, T.A.R.B.T.

    Published 2014
    “…Therefore, it is mandatory for electricity companies to monitor the vegetation/trees near power lines to avoid the blackouts. Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. …”
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10

    Lightning Fault Classification for Transmission Line Using Support Vector Machine by Asman S.H., Aziz N.F.A., Kadir M.Z.A.A., Amirulddin U.A.U., Roslan N., Elsanabary A.

    Published 2024
    “…The most prevalent cause of faults in the power system is lightning strikes, while other causes may include insulator failure, tree or crane encroachment. In this study, two machine learning algorithms, Support Vector Machine (SVM) and k-Nearest Neighbor (kNN), were used and compared to classify faults due to lightning strikes, insulator failure, tree and crane encroachment. …”
    Conference Paper
  11. 11

    Lightning fault classification for transmission line using support vector machine by Asman, Saidatul Habsah, Ab Aziz, Nur Fadilah, Ab Kadir, Mohd Zainal Abidin, Ungku Amirulddin, Ungku Anisa, Roslan, Nurzanariah, Elsanabary, Ahmed

    Published 2023
    “…The most prevalent cause of faults in the power system is lightning strikes, while other causes may include insulator failure, tree or crane encroachment. In this study, two machine learning algorithms, Support Vector Machine (SVM) and k-Nearest Neighbor (kNN), were used and compared to classify faults due to lightning strikes, insulator failure, tree and crane encroachment. …”
    Get full text
    Get full text
    Conference or Workshop Item
  12. 12

    Dynamic programming based comparison including QuickBird and IKONOS satellite stereo images for monitoring vegetation near power poles by Qayyum A., Malik A.S., Naufal M., Saad M., Iqbal M., Ahmad R.F., Abdullah T.A.R.B.T.

    Published 2023
    “…Therefore, it is mandatory for electricity companies to monitor the vegetation/trees near power lines to avoid the blackouts. Many approaches are employed to monitor vegetation/trees near the transmission line poles, but these approaches are more time consuming and expensive. …”
    Conference Paper
  13. 13

    Comparison Of Phylogenetic Trees Using Difference Distance Function Method by Maziah, Medin

    Published 2005
    “…PHYLIP contains program for reconstructing trees from distance matrices. …”
    Get full text
    Get full text
    Final Year Project Report / IMRAD
  14. 14

    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines by Qayyum, A., Saad, N.M., Kamel, N., Malik, A.S.

    Published 2018
    “…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
    Get full text
    Get full text
    Article
  15. 15

    Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines by Qayyum, A., Saad, N.M., Kamel, N., Malik, A.S.

    Published 2018
    “…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
    Get full text
    Get full text
    Article
  16. 16

    Enhancing understanding of programming concepts through physical games by Raja Yusof, Raja Jamilah, Habib, Ahsan

    Published 2017
    “…We produced in total 10 lesson games to illustrate variables, swapping, arrays, sorting algorithm particularly bubble sort, quicksort, selection sort, graph theory, dynamic programming, amortized analysis and trees. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  17. 17
  18. 18