Search Results - (( java implications _ algorithm ) OR ( data visualisation new algorithm ))
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Effectiveness of silhouette rendering algorithms in terrain visualisation
Published 2002“…This approach has been implemented in a 3D modelling system to create a new method of displaying and viewing terrain data in an artistic style. …”
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Dynamic modeling by usage data for personalization systems
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Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach
Published 2017“…This method was utilised to detect potential clusters in the annual and monthly malaria data in Khyber Pakhtunkhwa Province, Pakistan from 2012 to 2016 visualising the results on a heat map. …”
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Mining and integration of oral cancer genomics for predictive therapeutics / Bernard Lee Kok Bang
Published 2019“…Technical evaluation of performance reliability of six gene signature similarity scoring algorithms showed that the Weighted Connectivity Score or the statistically significant Connectivity Map, are prime candidates for upgrading the current core algorithm of DeSigN, which is based on the Kolmogorov-Smirnov statistic. …”
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5
Feature extraction and localisation using scale-invariant feature transform on 2.5D image
Published 2015“…In this paper, we present and discuss our new automatic landmarking method on face data using 2.5-dimensional (2.5D) range images. …”
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6
Urban green space spatio-temporal change influences on land surface temperature in Kuala Lumpur, Malaysia
Published 2020“…The broad range of output generated from the multiple temporal of high-resolution aerial imagery could henceforth improve the reliability of collected data and develop a high-performance outcome in interpreting real visualised scenarios.…”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Modified dynamic programming model with limited order picking capacity / Noraimi Azlin Mohd Nordin
Published 2021“…Fourthly is to test and compare the developed mathematical order picking model with secondary data and finally to simulate the data into three types of categories; small, medium and large. …”
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