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Konstantinos V. Kostas and Maria Manousaridou
In this work, supervised Machine Learning (ML) techniques were employed to solve the forward and inverse problems of airfoil and hydrofoil design. The forward problem pertains to the prediction of a foil?s aerodynamic or hydrodynamic performance given it...
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Shenghong Qin, Laixian Peng, Renhui Xu, Xianglin Wei, Xingchen Wei and Dan Jiang
Maintaining high system performance is critical for a multi-hop flying mesh network (FlyMesh) to perform missions in different environments. Although the Poisson point process (PPP) has been widely used for the performance analysis of FlyMesh, it still h...
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Maria Cristina Porcu, Juan Carlos Vielma Pérez, Gavino Pais, Diego Osorio Bravo and Juan Carlos Vielma Quintero
Due to their excellent seismic behavior, shear wall-type concrete buildings are very popular in earthquake-prone countries like Chile. According to current seismic regulations, the performance of such structures can be indifferently assessed through line...
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Minjoon Kim, Hyunyeong Kim, Kwangsoo Shin and Changhyeon Song
Due to the increased need for the efficient use of public funds and the importance of private investment, there have been many studies on the effects of these factors on corporate performance. However, few studies have been conducted based on an integrat...
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Remah Younisse, Ashraf Ahmad and Qasem Abu Al-Haija
Artificial intelligence (AI) and machine learning (ML) models have become essential tools used in many critical systems to make significant decisions; the decisions taken by these models need to be trusted and explained on many occasions. On the other ha...
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