Search Results - (( _ constructive method algorithm ) OR ( model visualization using algorithm ))
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1
Parallel visualization approach of a 3D heart model
Published 2008“…The main target of this paper is to find an optimum strategy for the construction of the RF map and a decent estimation algorithm. …”
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Conference or Workshop Item -
2
Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python
Published 2022“…Graph coloring has a wide range of applications and is commonly used to solve scheduling issues. In this article, the researchers design an algorithm and apply it to a computer program (Python) to solve graph coloring and to visualize the variation of exam scheduling modeling at Binus University in graphs based on the Bitwise Graph Coloring Algorithm. …”
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3
B-spline curve fitting with different parameterization methods
Published 2020“…After generating control points, distance between the generated and original data points is used to identify the error of the algorithm. Later, genetic algorithm and differential evolution optimization are used to optimise the error of the curve. …”
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4
Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization
Published 2021“…Identifying a feature selection method with a classifier algorithm that produces high performance in mortality studies is essential and has not been reported before. …”
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5
Study of Free Falling Particle in Viscous Fluid
Published 2016“…Matrix Laboratory or Matlab is used to solve, model and simulate the motion of particle based on already proven mathematical modelling and numerical methods. …”
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Final Year Project -
6
Maass cusp form on asymmetric hyperbolic torus
Published 2017“…Consider that the asymmetric torus has no parity symmetry, an algorithm of MCF with exponential expansion is developed using Mathematica. …”
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Thesis -
7
Digital Surface Model (DSM) Construction and Flood Hazard Simulation for Development Plans in Naga City, Philippines
Published 2007“…In this paper, there are 4 interpolation methods used, namely Australian National University's Digital Elevation Model algorithm (ANUDEM), Kriging, Polynomial and Triangulated Irregular Network (TIN). …”
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8
Machine learning application for concrete surface defects automatic damage classification
Published 2024“…This model is trained using 80% of the image data and tested using another 20% of the image data. …”
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9
EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique
Published 2016“…The IncFRNN algorithm updates the training set by employing a heuristic update method to maintain representative objects and eliminate rarely used objects. …”
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Thesis -
10
Flood hazard simulation for development plans in urban environment: a case study in Naga City, the Philippines
Published 2007“…Furthermore, four interpolation methods were used for terrain interpolation, namely Australian National University's Digital Elevation Model algorithm (ANUDEM), Kriging, Polynomial and Triangulated Irregular Network (TIN). …”
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11
Fault Tolerance For Two Wheel Mobile Robot Using FSM (Finite State Machine)
Published 2017“…The aim of this research is to construct and design a Fault Tolerance algorithm considered to speed up the fault isolation procedure and it might identify multiple fault with the same static fault signature. …”
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Article -
12
Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension
Published 2015“…This model is then to be used in the prototype tool development that is called 3De-ALPROV (Design Development Debug – Algorithm Program Visualization). …”
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Thesis -
13
An automated pipeline for constructing 3D models of monogenean hardparts using machine learning technique for landmarks detection / Teo Bee Guan
Published 2019“…However, the development of 3D models is a tedious procedure as one will have to repeat entire complicated modelling process for every new target 3D shape using a comprehensive 3D modelling software. …”
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Thesis -
14
Modeling tourism movements and sentiments using spatial analysis based on social media big data
Published 2023“…Implement natural language processing methods to analyze tourists’ emotions from text data.The methods used in this thesis include web crawler technology, spatial analysis methods and sentiment analysis. …”
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15
Visualization of dengue incidences using expectation maximization (EM) algorithm
Published 2017“…Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms respectively. …”
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16
Fusion model of unmanned aerial vehicle-based digital elevation model for accuracy improvement mapping
Published 2020“…The photos were processed using Agisoft algorithm. In the end, seven DEMs were exported in tiff file format. …”
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Thesis -
17
Interpretation of machine learning model using medical record visual analytics
Published 2021“…This paper analyzed several visual analytics ap- proach instantiated in machine learning algorithm for medical record analytics. …”
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Proceeding Paper -
18
Visual and semantic context modeling for scene-centric image annotation
Published 2015“…The sub-visual distributions are discovered through a clustering algorithm, and probabilistically associated with semantic classes using mixture models. …”
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19
VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…A tool termed as VIGA-20 (Visualization of Genetic Algorithm using 2-0 Graph) is implemented to accomplish this goal. …”
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Thesis -
20
DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi
Published 2025“…This could include for instance a systematic literature review on theories available to understand the current problem and its possible solution, analysis of the users need gathered from interviews, and of course the application development using Flutter within Visual Studio Code. The application includes advanced features such as automatic disease detection using a CNN model trained on a publicly available dataset, integration into precision farming (where environmental signals are monitored in real time), and content-based filtering for custom-tailored therapy proposals. …”
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