Search Results - (( java implementation phase algorithm ) OR ( after implementation cell algorithm ))
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1
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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2
Synthesis of transistor chaining algorithm for CMOS cell layout using euler path / Sukri Hanafiah
Published 1997“…The euler's path it using pseudo input and Heuristic algorithm to find the minimum interlace. The comparison between euler's path and Bipartite graph Algorithm [14] will be made at the end this of this report to see which one give optimal chaining .…”
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3
New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images
Published 2016“…After obtaining more even illumination cell images, this proposed algorithm addresses the low contrast problem by proposing new non-linear dark region bright region contrast enhancement techniques to enhance dark and bright regions individually. …”
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4
Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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5
Rtl Implementation Of Secure Hash Algorithm 3 (Sha-3) Towards Smaller Area
Published 2017“…Among all of the cryptography measures, Secure Hash Algorithm 3 (SHA-3) is the newest and secure cryptographic hash algorithm in the current electronic industry. …”
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Token based path allocation approach for mobile robots in sorting centre for achieving high throughput
Published 2024“…This project proposes an improved path-finding algorithm that implements token-based path finding while a robot wants to access a grid cell. …”
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Final Year Project / Dissertation / Thesis -
8
Classification of Parkinson's Disease (PD) Based on Multilayer Perception (MLPs) Neural Network and Anova as a feature extraction / Zahari Abu Bakar ... [et al.]
Published 2012“…Results attained confirmed that the LM performed well with accuracy rate of above 90% before and after feature selection whilst SSG attained above 85% subsequent to implementation of ANOVA as feature selection.…”
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9
Classification of parkinson's disease (pd) based on multilayer perceptrons (MLPs) neural network and anova as a feature extraction / Zahari Abu Bakar ... [et al.]
Published 2012“…Results attained confirmed that the LM performed well with accuracy rate of above 90% before and after feature selection whilst SSG attained above 85% subsequent to implementation of ANOVA as feature selection.…”
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Thesis
