Nature

Mode shape identification based on monophotogrammetry and relative displacements of partial structures under ambient excitation

Traditional mode shape identification methods are based mostly on acceleration responses, and many hardware devices must be installed. On the basis of monophotogrammetry, the dynamic displacement ...
AZoNano

Deep Learning Tackles Nanoparticle Shape Identification Challenges

The Innovation Center of NanoMedicine, in collaboration with The University of Tokyo, has revealed that a team under the leadership of Prof. Takanori Ichiki, who serves as the Research Director of ...
Nature

Hydrodynamic object identification with artificial neural models

The lateral-line system that has evolved in many aquatic animals enables them to navigate murky fluid environments, locate and discriminate obstacles. Here, we present a data-driven model that uses ...
Nanowerk

Deep learning solves long-standing challenges in identification of nanoparticle shape

(Nanowerk News) The Innovation Center of NanoMedicine (iCONM) has announced with The University of Tokyo that a group led by Prof. Takanori Ichiki, Research Director of iCONM, proposed a new property ...