Search Results - (( gis visualization based algorithm ) OR ( java application tree algorithm ))
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Visualization of dengue incidences using expectation maximization (EM) algorithm
Published 2017“…The aim of this study was to use the geographical information system (GIS) to visualize the dengue incidences on a weekly basis in Selangor, Malaysia. …”
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Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data
Published 2008“…In developing the visualization tool, visualization algorithm was used by employing the morphing technique which uses parametric equation. …”
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Enhanced 3D terrain visualization process using game engine
Published 2018“…The main finding of this study is the new algorithm of enhancing 3D terrain visualization process using Unity3D game engine. …”
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The mathematics of 3D buffering for simple geospatial primitives
Published 2003“…The mathematics, the geometry, and the algorithms involved will be presented. We have tested the approach by using photogrammetrically captured data sets and a commercial GIS package for visualization purpose. …”
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3D terrain visualisation for GIS: A comparison of different techniques
Published 2011“…The aim of this paper is to compare different techniques of terrain visualisation in GIS environment. The techniques involved in this experiment are colour shading, terrain overlaid with satellite image and silhouette rendering algorithm for NPR. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. …”
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Mining Sequential Patterns using I-PrefixSpan
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Generating vulnerability maps of dengue incidences for Petaling district in Malaysia
Published 2016“…The incidences are visualized using Geographical Information System (GIS) which provides information on coordinates (latitude and longitude) based on the occurrence of incidences registered with the Disease Control Division of the Ministry of Health, Malaysia. …”
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Dynamic Mapping and Visualizing Dengue Incidences in Malaysia Using Machine Learning Techniques
Published 2021“…K-mean, KNN, and Expectation-Maximization (EM) algorithms are used to cluster the cases and visualize the pattern of dengue spread. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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Risk assessment of dengue in Betong Sarawak using simple mathematical model
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A framework for multiple moving objects detection in aerial videos
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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Fusion model of unmanned aerial vehicle-based digital elevation model for accuracy improvement mapping
Published 2020“…The resulting orthoimages exported to an ArcGIS software for cadastral map digitization. Analyses, such as visual, tabular, and graphical, were carried out to examine an optimum flight altitude for cadastral mapping. …”
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