Search Results - (( data interpolation path algorithm ) OR ( data visualisation using algorithm ))

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  1. 1

    STEP-NC Interpolator for General 2D and 3D Parametric Curve / Dzullijah Ibrahim...[et al.] by Ibrahim, Dzullijah, Yaakob, Yusli, Hussin, Norasikin, Samad, Zahurin

    Published 2017
    “…A hierarchical-based algorithm is used to extract the tool path data from STEP-NC tool path file of a product model. …”
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    Article
  2. 2

    Exponential Parameterized Cubic B-Spline Curves And Surfaces by Ammad, Muhammad

    Published 2020
    “…In developing B-spline curve interpolation method, an algorithm is presented for interpolating data points. …”
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    Thesis
  3. 3

    Multi-dimensional Data Visualisation using Mobile Augmented Reality by Rehman Ullah, Khan, Yin, Bee Oon, Ahmad Sofian, Shminan, Lee, Jun Choi, Chen, Jacqueline How Ting

    Published 2020
    “…Therefore, this algorithm uses AR to provide a multi-display solution for improved data visualisation after processing, summarising and classifying data. …”
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    Article
  4. 4

    Effectiveness of silhouette rendering algorithms in terrain visualisation by Che Mat, Ruzinoor, Visvalingam, Mahes

    Published 2002
    “…Silhouette Rendering Algorithms have been successfully used in various applications such as communicating shape and cartoon rendering.This paper explores how effective silhouette rendering algorithms could be used in terrain visualisation. …”
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    Conference or Workshop Item
  5. 5

    A new hybrid multiaxial fatigue life model based on critical plane continuum damage mechanics and genetic algorithm by Masood, Kamal

    Published 2015
    “…Interpolation scheme based on the multiaixality of stresses is suggested for the determination of coefficients of the model for different loading paths. …”
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    Thesis
  6. 6

    Visualisation System of COVID-19 Data in Malaysia by Rehman Ullah, Khan, NOR SYAZA, SYAMIMI, CLADIA SIMBUT, MAMBANG, IVY, THOMAS, TZI NI, WEE

    Published 2021
    “…This study aims to provide a system, using COVID-19 data as a sample to visualise and analyse cases, deaths, discharged ICU cases updates in Malaysia as a whole state wise of COVID-19 daily statistics. …”
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    Article
  7. 7

    3D terrain visualisation for GIS: A comparison of different techniques by Ruzinoor, Che Mat, Mohamed Shariff, Abdul Rashid, Mahmud, Ahmad Rodzi, Pradhan, Biswajeet

    Published 2011
    “…The results of this paper will be of help to the users in identifying the best technique of terrain visualisation suitable for GIS data.…”
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    Book Section
  8. 8

    Visualisation System of COVID-19 Data in Malaysia by Rehman Ullah, Khan, NOR SYAZA, SYAMIMI, CLADIA SIMBUT, MAMBANG, IVY, THOMAS, NI WEE, TZI

    Published 2021
    “…This study aims to provide a system, using COVID-19 data as a sample to visualise and analyse cases, deaths, discharged ICU cases updates in Malaysia as a whole state wise of COVID-19 daily statistics. …”
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    Article
  9. 9

    A COMPARISON STUDY OF DATA CLUSTERING AND VISUALISATION TECHNIQUES WITH VARIOUS DATA TYPES by Ling, Chien

    Published 2020
    “…Clustering is used to identify the intrinsic grouping of a set of unlabelled data. …”
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    Final Year Project Report / IMRAD
  10. 10

    A case study : 2D Vs 3D parallel differential equation toward tumor cell detection on multi-core parallel computing atmosphere by Islam, Md. Rajibul, Alias, Norma

    Published 2010
    “…In order to detect tumour cells, 2D and 3D Partial Differential Equations (PDE) are considered and compared by using Multi-Core parallel computing atmosphere with visualisation, communication and data analysis. …”
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    Article
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    PREDICTION OF HFMD DISEASE OUTBREAK FROM TWITTER by Tay, Guo Hong

    Published 2019
    “…This is because both Naive Bayes and SVM are baseline algorithm used in text classification. In the end, a visualisation of HFMD Disease Map is presented to visualize the city that suffer HFMD outbreak using geo-located tweet that related with HFMD. …”
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    Final Year Project Report / IMRAD
  13. 13

    Effect of Soot Particle Diameter to Soot Movement in Diesel Engine by Mohd Hafidzal, Mohd Hanafi, Mohamad Shukri , Zakaria, Muhammad Zaidan, Abdul Manaf, Mohd Noor Asril, Saadun

    Published 2013
    “…Mathematics algorithm which is used in the MATLAB routine is trilinear interpolation and 4th order of Runge Kutta. …”
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    Article
  14. 14

    Secured agriculture sensor data based on end-to-end encryption using raspberry pi by Choo, Jia Huey

    Published 2025
    “…This project addresses these security concerns by developing a secure data collection and visualisation system using Raspberry Pi and Node-RED. …”
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    Final Year Project / Dissertation / Thesis
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    Effect of Soot Particle Diameter to Soot Movement in Diesel Engine by Mohd Hafidzal, Mohd Hanafi, Wan Mohd Faizal, Wan mahmood, Muhammad Zaidan, Abdul Manaf, Mohamad Shukri , Zakaria, Mohd Noor Asril, Saadun

    Published 2013
    “…Mathematics algorithm which is used in the MATLAB routine is trilinear interpolation and 4th order of Runge Kutta. …”
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    Article
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    The enhancement of mammographic images of breast cancer using median filtering (software development ) / Noor Saedah Selamat by Selamat, Noor Saedah

    Published 1996
    “…These algorithm are written in C code using BORLAND C++ in Windows environment , improvise the poor image to become a clear image using enhancement techniques. …”
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    Thesis
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    Composing multi-relations association rules from crowdsourcing remuneration data by Siti Salwa Salleh, Nurhayati Zakaria, Norjansalika Janom, Syaripah Ruzaini Syed Aris, Noor Habibah Arshad

    Published 2022
    “…To gain a more understandable insight, the data relationship is visualised using an alluvial chart that manages to illustrate the flow. …”
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  20. 20

    Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization by Nanyonga Aziida, Sorayya Malek, Firdaus Aziz, Khairul Shafiq Ibrahim, Sazzli Kasim

    Published 2021
    “…Hybrid combinations of feature selection, classification and visualisation using machine learning (ML) methods have the potential for enhanced understanding and 30-day mortality prediction of patients with cardiovascular disease using population-specific data. …”
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