Search Results - (( developing interactive max algorithm ) OR ( java evaluation path algorithm ))
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SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
Published 2019“…To achieve energy efficiency, it compresses the packet information by using GZIP tools in JAVA. SecPath is evaluated with several variations using 400 nodes in WSN deployments as well as large-scale simulations. …”
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Energy efficient path reconstruction in wireless sensor network using iPath
Published 2019“…To achieve energy efficiency, it compresses the packet information by using GZIP tools in JAVA. Energy efficient iPath (E-iPath) is evaluated with several variations of nodes in WSN deployments as well as large-scale simulations. …”
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CNN architectures for road surface wetness classification from acoustic signals
“…The classification of road surface wetness is important for both the development of future driverless vehicles and the development of existing vehicle active safety systems. …”
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The development of cloud modelling and motion analysis for virtual environment
Published 2005“…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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The development of cloud modelling and motion analysis for virtual environment
Published 2005“…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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Human action recognition using slow feature analysis / Bardia Yousefi
Published 2016“…The cross-connection of the two pathways is implied throughout the present research via direct consideration, such as shared sketch algorithm and optical flow information, fuzzy max-product involvement, and scoring among each other. …”
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Braille display systems for blind people with haptic belt
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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