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Visualisation tool to study malaria transmission using network modelling
Published 2014“…Java was used to implement the visualisation tool. …”
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Final Year Project Report / IMRAD -
2
Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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Thesis -
3
The development of parameter estimation method for Chinese hamster ovary model using black widow optimization algorithm
Published 2020“…Metaheuristic parameter estimation is an algorithm framework that is processed using some technique to generate a pattern or graph. …”
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Article -
4
A web-based library search engine using conflation method / Zulfahanan Abdul Gani
Published 2010“…Nowadays, there are many library search engine that are created, but usually for high institution like for university and just for some schools only. Therefore, first objective of this project is to develop a data collection for library search engine. …”
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Thesis -
5
WA VELET-DCT BASED IMAGE CODER FOR VIDEO CODING APPLICATIONS
Published 2008“…The algorithm allows truncation of intermediate coefficient through DWT. …”
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Final Year Project -
6
Outlier Detection Technique in Data Mining: A Research Perspective
Published 2005“…Most methods in the early work that detects outliers independently have been developed in field of Statistics. Finding ,removing and detecting outliers is very important in data mining, for example error in large databases can be extremely common, so an important property of a data mining algorithm is robustness with respect to outliers in the database. …”
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Conference or Workshop Item -
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Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks
Published 2013“…In training and testing phases, experiments were carried out to observe the classification performance of Neural Networks with duplication of difficult pattern to learn (referred to as DOUBLE) as this could possibly explain as to why some flower images were difficult to learn by classifiers. …”
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Thesis -
8
Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation
Published 2020“…The proposed algorithm named as Box-Whisker Data Transformation considered all samples contain in a MLCC dataset in order to generate artificial samples. …”
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Thesis -
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