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Lorenzo Arsini, Barbara Caccia, Andrea Ciardiello, Stefano Giagu and Carlo Mancini Terracciano
Graphs are versatile structures for the representation of many real-world data. Deep Learning on graphs is currently able to solve a wide range of problems with excellent results. However, both the generation of graphs and the handling of large graphs st...
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Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias and Antonio G. Ravelo-García
This study presents a novel approach for kernel selection based on Kullback?Leibler divergence in variational autoencoders using features generated by the convolutional encoder. The proposed methodology focuses on identifying the most relevant subset of ...
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Jinsheng Fan, Qiushi Luo, Yuchuan Bai, Xiaofang Liu and Renzhi Li
The roughness of a river?s boundary significantly influences the sediment transport process and the ultimate configuration of the river?s stable cross-section. This interplay between boundary roughness and river morphology is crucial to a river?s overall...
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Jae Seong Bae and Sung Nam Jung
An analytical methodology is developed for thin-walled composite beams with arbitrary geometries and material distributions. The approach uses a mixed variational theorem which sets the shell displacements, and the shear stress resultants and hoop moment...
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Shuai Guo, Tong Shen, Li Li, Huangxing Hu, Jicheng Zhang and Zhiwen Lu
Timber has been commonly used in the field of civil engineering, and the health condition of timber is of great significance for the whole structure in practical scenarios. However, due to mechanical load and environmental impact, timber-based constructi...
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