Search Results - (( pattern extraction path algorithm ) OR ( gis visualization based 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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Feature extraction: hand shape, hand position and hand trajectory path
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3
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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4
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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5
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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Animal voice recognition for identification (ID) detection system
Published 2011“…While the voice pattern classification will be done by using DTW algorithm. …”
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Dog voice identification (ID) for detection system
Published 2012“…While the voice pattern classification will be done by using DTW algorithm. …”
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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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Book Section -
9
NN with DTW-FF Coefficients and Pitch Feature for Speaker Recognition
Published 2006“…This paper proposes a new method to extract speech features in a warping path using dynamic programming (DP). …”
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Local DTW coefficients and pitch feature for back-propagation NN digits recognition
Published 2006“…This paper presents a method to extract existing speech features in dynamic time warping path which originally was derived from LPC. …”
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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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12
Local DTW Coefficients and Pitch Feature for Back-Propagation NN Digits Recognition
Published 2006“…This paper presents a method to extract existing speech features in dynamic time warping path which originally was derived from LPC. …”
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13
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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14
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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Advances in materials informatics: A review
Published 2024“…Conventional ML models are simple and interpretable, relying on statistical techniques and algorithms to learn patterns and make predictions with limited data. …”
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Risk assessment of dengue in Betong Sarawak using simple mathematical model
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Student Project -
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A framework for multiple moving objects detection in aerial videos
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A hybrid environment control system combining EMG and SSVEP signal based on brain-computer interface technology
Published 2021“…The feature in terms of the common spatial pattern (CSP) has been extracted from four classes of SSVEP response, and extracted feature has been classified using K-nearest neighbors (k-NN) based classification algorithm. …”
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