Search Results - (( problem segmentation mix algorithm ) OR ( java application optimisation algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Fully automated segmentation of the left ventricle in cine cardiac magnetic resonance imaging / Tan Li Kuo by Tan, Li Kuo

“…In this thesis, two fully automatic algorithms for cardiac MRI were presented: the first for localization of the LV blood pool – a sub-problem for enabling subsequent automatic segmentation; and the second for segmentation of the LV with full coverage from base to apex across all cardiac phases. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Extremal region detection and selection with fuzzy encoding for food recognition by Razali @ Ghazali, Mohd Norhisham

“…MSER provide discriminative features via global segmentation. The arbitrary shape of regions produced by the global segmentation is suitable to detect interest points from mixed food objects which are known to be characterised by non-rigid deformations and very large variations in appearance. …”
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A headway and order scheme based mixed integer goal programming model for railway rescheduling / Zuraida Alwadood by Alwadood, Zuraida

“…This study is concerned with solving the railway rescheduling problem when disruption occurs on a track segment of the railway. …”
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Heart murmur detection using supervised machine learning by Moulana, Saad Hafez, Luqman, Ahmad, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Wani, Sharyar, Ibrahim, Adamu Abubakar

“…In this research, we proposed supervised machine learning specifically Mel Frequency Cepstral Coefficient to solve the previously mentioned problem statements, the main objectives are: To segment the systolic and diastolic phases of a heartbeat, to identify the heartbeat sounds as it is mixed with background sounds and to classify the abnormal heartbeat sounds with murmurs present from the normal ones. …”
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