Showing 41 - 60 results of 188 for search 'random graph', query time: 0.07s Refine Results
  1. 41

    Road crash injury severity prediction using a graph neural network framework by Sattar, Karim A., Ishak, Iskandar, Affendey, Lilly Suriani, Mohd Rum, Siti Nurulain

    Published 2024
    “…The current study extends existing knowledge by leveraging Graph Neural Networks (GNN) and comparing their performance to popular ensemble-based models, which include Extreme Gradient Boosting (XGBoost), Random Forest (RF), and Artificial Neural Networks (ANNs). …”
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    Article
  2. 42

    Instructional efficiency of utilization of autograph technology Vs handheld graphing calculator for learning algebra. by Ahmad Tarmizi, Rohani, Mohd. Ayub, Ahmad Fauzi, Abu Bakar, Kamariah, Md. Yunus, Aida Suraya

    Published 2008
    “…On the other hand, graphing calculator is a handy device that can be use for teaching mathematics which is able to create geometric figures, graph functions, inequalities or transformations of functions. …”
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    Article
  3. 43

    A direct proof of improved biased random walk with gastric cancer dataset by Seah, Choon Sen, Kasim, Shahreen, Md Fudzee, Mohd Farhan, Mohamad, Mohd Saberi, Saedudin, Rd Rohmat, Witarsyah, Deden, Hassan, Rohayanti, Ismail, Mohd Arfian, Atan, Rodziah

    Published 2018
    “…To be completely biased to the random walk, references data is implement as directed graph. …”
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    Conference or Workshop Item
  4. 44

    Hybrid sampling and random forest machine learning approach for software detect prediction by Md. Anwar, Hossen, Md. Shariful, Islam, Nurhafizah, Abu Talip, Md. Sakib, Rahman, Fatema, Siddika, Mostafijur, Rahman, Sabira, Khatun, Mohamad Shaiful, Abdul Karim, S. M, Hasan Mahmud

    Published 2019
    “…Matplotlib, and PyPlot are used for graph and data visualization respectively. The hybrid sampling method and Random Forest (RF) algorithms achieved the highest prediction accuracy about 93.26% by showing its superiority.…”
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    Conference or Workshop Item
  5. 45

    Computationally-efficient path planning algorithms in obstacle-rich environments based on visibility graph method by Abdul Latip, Nor Badariyah

    Published 2018
    “…There are several existing path planning methods such as Visibility Graph (VG), Voronoi Diagram (VD), Potential Fields (PF) and Rapidly-Exploring Random Tree (RRT). …”
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    Thesis
  6. 46

    Learning mathematics through utilization of technology : use of autograph technology vs handheld graphing calculator. by Ahmad Tarmizi, Rohani, Mohd. Ayub, Ahmad Fauzi, Abu Bakar, Kamariah, Md. Yunus, Aida Suraya

    Published 2008
    “…On the other hand, graphing calculator is a handy device that can be use for teaching mathematics which is able to create geometric figures, graph functions, inequalities or transformations of functions. …”
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    Conference or Workshop Item
  7. 47

    Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion by Li, Qianyu, Yao, Jiale, Tang, Xiaoli, Yu, Han, Jiang, Siyu, Yang, Haizhi, Song, Hengjie

    Published 2023
    “…Few-shot Knowledge Graph Completion (FKGC) has recently attracted significant research interest due to its ability to expand few-shot relation coverage in Knowledge Graphs. …”
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    Journal Article
  8. 48
  9. 49

    An improved directed random walk framework for cancer classification using gene expression data by Seah, Choon Sen

    Published 2020
    “…Besides that, SDW also incorporated four directed graphs to study the usability of the directed graph. …”
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    Thesis
  10. 50
  11. 51
  12. 52

    Optimal medicinal cupping points selection for asthma disease via graph colouring: A preliminary study by Yuhani, Yusof, Mohd Sham, Mohamad, Noraziah, Adzhar, Nurfatihah, Mohamad Hanafi, Elizabeth, Marta, Muhamad Faiz, Abu Bakar, Mohd Adhha, Ibrahim

    Published 2019
    “…Thus, in this paper, a graph model is proposed on finding the optimal number of cupping points for asthma disease via graph colouring approach. …”
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    Conference or Workshop Item
  13. 53

    An Enhanced Topologically Significant Directed Random Walk in Cancer Classification using Gene Expression Datasets by Choon, Sen Seah, Shahreen, Kasim, Mohd Farhan, Md Fudzee, Jeffrey Mark, Law Tze Ping, Mohd Saberi, Mohamad, Saedudin, Rd Rohmat, Mohd Arfian, Ismail

    Published 2017
    “…Gene expression dataset is used as the input datasets while pathway data- set is used to build a directed graph, as reference datasets, to complete the bias process in random walk approach. …”
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    Article
  14. 54

    Mean Monte Carlo Finite Difference Method for Random Sampling of a Nonlinear Epidemic System by Mohammed, M.A., Ibrahim, Adriana Irawati Nur, Siri, Zailan, Noor, Noor Fadiya Mohd

    Published 2019
    “…In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to simulate values of the variable coefficients as random sampling instead being limited as real values with respect to time. …”
    Article
  15. 55

    Instructional efficiency of mathematical learning using Geometer's Sketchpad and graphing calculator: technology tools versus traditional chalk and talk by Ahmad Tarmizi, Rohani

    Published 2008
    “…In this study, two technological tools in teaching and learning mathematics namely Geometer’s Sketchpad and graphing calculator were investigated. The purpose of this research was to compare instructional efficiency of utilizing Geometer’s Sketchpad and graphing calculator versus traditional approach for a secondary level topic ‘Quadratic Function’. …”
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    Article
  16. 56

    A non-conventional hybrid numerical approach with multi-dimensional random sampling for cocaine abuse in Spain by Mohammed, Maha A., Noor, Noor Fadiya Mohd, Ibrahim, Adriana Irawati Nur, Siri, Zailan

    Published 2018
    “…This paper introduces a non-conventional approach with multi-dimensional random sampling to solve a cocaine abuse model with statistical probability. …”
    Article
  17. 57

    Modeling a simulation for sociotechnical resilience by Tantri, Fredy, Amir, Sulfikar

    Published 2021
    “…Our model aims to capture the complex interactions within a sociotechnical system during a recovery process by incorporating these core attributes in the operational units embedded in a multilevel directed acyclic graph, information networks, and recovery strategies. …”
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    Journal Article
  18. 58

    Two new zero-dimensional qubit codes from bordered metacirculant construction by Seneviratne, Padmapani, Ezerman, Martianus Frederic

    Published 2022
    “…We use symplectic self-dual additive codes over F4 built by modifying the adjacency matrices of suitable metacirculant graphs found by a randomized search procedure.…”
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    Journal Article
  19. 59
  20. 60

    The maximum number of minimal codewords in long codes by Alahmadi, A., Aldred, R. E. L., de la Cruz, R., Solé, P., Thomassen, C.

    Published 2013
    “…Upper bounds on the maximum number of minimal codewords in a binary code follow from the theory of matroids. Random coding provides lower bounds. In this paper, we compare these bounds with analogous bounds for the cycle code of graphs. …”
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    Journal Article