Search Results - (( developing developing function algorithm ) OR ( its implementation tree algorithm ))

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  1. 1

    Detecting Remote-To-Local (R2L) attack using Decision Tree algorithm / Ahmad Nasreen Aqmal Mohd Nordin by Mohd Nordin, Ahmad Nasreen Aqmal

    Published 2024
    “…The implementation phase focuses on the deployment of the Decision Tree algorithm and system evaluation through functionality testing. …”
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    Thesis
  2. 2

    Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids by Chiaverini, Luca, Macdonald, David W., Hearn, Andrew J., Kaszta, Zaneta, Ash, Eric, Bothwell, Helen M., Can, Ozgun Emre, Channa, Phan, Clements, Gopalasamy Reuben *, Haidir, Iding Achmad, Kyaw, Pyae Phyoe, Moore, Jonathan H., Rasphone, Akchousanh, Tan, Cedric Kai Wei, Cushman, Samuel A.

    Published 2023
    “…The former is a parametric regression model providing functional models with direct interpretability. The latter is a machine learning non-parametric algorithm, more tolerant than other approaches in its assumptions, which has often been shown to outperform parametric algorithms. …”
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    Article
  3. 3

    DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi by Azmi, Muhammad Haziq

    Published 2025
    “…Extensive functional and user testing was performed to ensure the application not only accomplishes its goal but increases efficacy as well. …”
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    Thesis
  4. 4

    Crown counting and mapping of missing oil palm tree using airborne imaging system by Kee, Ya Wern

    Published 2019
    “…A graphical user interface by using MATLAB language was created based on the best executed method to aid users in counting the trees automatically. This helps to facilitate semi-skillful users to implement the tree counting algorithms. …”
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    Thesis
  5. 5

    Diagnosis and recommender system for diabetes patient using decision tree / Nurul Aida Mohd Zamary by Mohd Zamary, Nurul Aida

    Published 2024
    “…The phase of this project is divided into data preprocessing, implementation of the decision tree algorithm, and evaluation of the algorithm and prototype. …”
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    Thesis
  6. 6

    Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification by Myaser, Jwan

    Published 2020
    “…The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
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    Thesis
  7. 7

    Selection, generation and extraction of MCCTree using XMCCTree by Sazaly, Ummu Sulaim, Selamat, Mohd Hasan, Baharom, Salmi, A. Jabar, Marzanah

    Published 2012
    “…Previous research proposed notions of CLCA and MCLCA to answer keyword query in XML document. The notions are implemented in its proposed algorithms and the result, namely MCCTree, is ranked with its proposed ranking method. …”
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    Article
  8. 8

    Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti by Abd Mokti, Nurnazifah

    Published 2024
    “…The project involves data collection, data preparation, and the implementation of the decision tree algorithm for price prediction. …”
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    Thesis
  9. 9
  10. 10

    Hyper-Heuristic Evolutionary Approach for Constructing Decision Tree Classifiers by Kumar, Sunil, Ratnoo, Saroj, Vashishtha, Jyoti

    Published 2021
    “…Classification and Regression Tree (CART) algorithm is one of the renowned decision tree induction algorithms to address the classification as well as regression problems. …”
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    Article
  11. 11

    Adaptive rapidly-exploring-random-tree-star (Rrt*) -Smart: algorithm characteristics and behavior analysis in complex environments by Jauwairia Nasir, Fahad Islam, Yasar Ayaz

    Published 2013
    “…The paper also includes detailed explanation of the algorithm’s characteristics and statistical analysis of its behavior in different environment types including mazes, narrow passages and obstacle cluttered environments in comparison with RRT*. …”
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    Article
  12. 12

    Enhance efficiency of answering XML keyword query using incompact structure of MCCTree by Sazaly, Ummu Sulaim

    Published 2012
    “…Those processes constructed MCCTreeGenerator algorithm which will produce the same subtree as MCCTree but difference in its structure. …”
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    Thesis
  13. 13

    Data Classification and Its Application in Credit Card Approval by Thai , VinhTuan

    Published 2004
    “…This project is involved with identification of the available algorithms used in data classification and the implementation of C4.5 decision tree induction algorithm in solving the data classifying task. …”
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    Final Year Project
  14. 14

    Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi

    Published 2014
    “…The decision tree results were implemented in eCognition software to provide an effective and fast generation of semantic network in OBIA.…”
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    Conference or Workshop Item
  15. 15

    Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah by Abdullah, Suzanah

    Published 2021
    “…At this stage, this study has formulated a new methodology for estimating DTM production under tree canopy conditions based on tree crown estimation produced from the digital surface model (DSM) and subsequently, the tree height estimation was determined as the final process in the DTM implementation. …”
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    Thesis
  16. 16

    SRPTackle: a semi-automated requirements prioritisation technique for scalable requirements of software system projects by Fadhl, Hujainah, Rohani, Abu Bakar, Nasser, Abdullah B., Al-haimi, Basheer, Kamal Z., Zamli

    Published 2021
    “…Method: SRPTackle provides a semiautomated process based on a combination of a constructed requirement priority value formulation function using a multi-criteria decision-making method (i.e. weighted sum model), clustering algorithms (K-means and K-means++) and a binary search tree to minimise the need for expert involvement and increase efficiency. …”
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    Article
  17. 17

    Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image by Zainal Azali, Muhammad Nazmi

    Published 2024
    “…Global method produces high computational complexity and slow implementation, deferring its suitability for real-time application. …”
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    Thesis
  18. 18

    Classification of basal stem rot disease in oil palm using dielectric spectroscopy by Al-Khaled, Al-Fadhl Yahya Khaled

    Published 2018
    “…An analysis was done to see the effect of implementing different data reduction algorithms in classifying BSR disease. …”
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    Thesis
  19. 19

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

    Published 2005
    “…The pre-processing is implemented using the Microsoft Visual C++. The phylogenetic tree is build using the PHYLlP (the PHYlogeny Inference Package), a package of programs for inferring phylogenies (evolutionary trees). …”
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    Final Year Project Report / IMRAD
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