Real Examples based Natural Phenomena Synthesis

HyangA An, Yong-Ho Seo, Jinho Park
<span title="2013-11-30">2013</span> <i title="The Institute of Webcasting, Internet and Telecommunication"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xamlvzde5zcord7hjb6ijzz2pe" style="color: black;">International journal of advanced smart convergence</a> </i> &nbsp;
Current physics-based simulation is an important tool in the fluid animation. However some problems require a new change to current research trends which depend only on the simulation. The ultimate goal of this project is to obtain information of flow example, analyze an example through machine learning and the novel fluid animation reconfigure without physical simulation.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7236/ijasc2013.2.2.2">doi:10.7236/ijasc2013.2.2.2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jtefvnlz5bhcnontnozookqmf4">fatcat:jtefvnlz5bhcnontnozookqmf4</a> </span>
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