[HTML][HTML] Connectome of memristive nanowire networks through graph theory

G Milano, E Miranda, C Ricciardi - Neural Networks, 2022 - Elsevier
Hardware implementation of neural networks represents a milestone for exploiting the
advantages of neuromorphic-type data processing and for making use of the inherent …

The application of statistical shape modeling for lung morphology in aerosol inhalation dosimetry

J Xi, M Talaat, XA Si, S Chandra - Journal of Aerosol Science, 2021 - Elsevier
Even with the advance in medical imaging techniques such as CT/MRI, it is still challenging
and time-consuming to reconstruct anatomically accurate lung geometries. It is even more …

Transport collapse in dynamically evolving networks

G Berthelot, L Tupikina, MY Kang… - Journal of the …, 2023 - royalsocietypublishing.org
Transport in complex networks can describe a variety of natural and human-engineered
processes including biological, societal and technological ones. However, how the …

Pseudo-Darwinian evolution of physical flows in complex networks

G Berthelot, L Tupikina, MY Kang, B Sapoval… - Scientific reports, 2020 - nature.com
The evolution of complex transport networks is investigated under three strategies of link
removal: random, intentional attack and “Pseudo-Darwinian” strategy. At each evolution step …

Risk propagation model under multi-dimensional complex relationship

Y Zhao, Y Xu, N Li - … on Artificial Intelligence and Big Data …, 2020 - ieeexplore.ieee.org
The law of network propagation is one of the important research topics of complex networks
and complexity sciences. In the financial field, network transmission is manifested as risk …