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Hung-Cheng Tao, Tai-Wen Hsu and Chia-Ming Fan
In this paper, an improved one-line evolution formulation is proposed and derived for the dynamic shoreline planforms of embayed beaches. Although embayed sandy beaches can perform several functions, serving as leisure spots and areas of coastal protecti...
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Sorin Zoican, Roxana Zoican, Dan Galatchi and Marius Vochin
This paper illustrates a general framework in which a neural network application can be easily integrated and proposes a traffic forecasting approach that uses neural networks based on graphs. Neural networks based on graphs have the advantage of capturi...
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Pascal Fossat, Madhurima Kothakota, Mohamed Ichchou and Olivier Bareille
This work addresses the dynamic modeling of a negative stiffness absorber consisting of an assembly of curved beams. Design rules are derived from the orders of magnitude of stiffness and elastic energy stored by the negative stiffness elements. Although...
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Maxat Toishimanov, Meruyet Nurgaliyeva, Assiya Serikbayeva, Zhulduz Suleimenova, Karima Myrzabek, Aksholpan Shokan and Nurgul Myrzabayeva
Here, we present the results of analyzing the fatty acid composition of the main edible vegetable oils from Kazakhstani oilseed producers (safflower, sunflower, maize (corn), linseed, cottonseed, soybean and rapeseed) in comparison with the known fatty a...
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Brett Bowman, Chad Oian, Jason Kurz, Taufiquar Khan, Eddie Gil and Nick Gamez
Modeling of physical processes as partial differential equations (PDEs) is often carried out with computationally expensive numerical solvers. A common, and important, process to model is that of laser interaction with biological tissues. Physics-informe...
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