46 citations · 63 across the 4 of their papers we have counts for
4 papers
Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence
Jingzu Yee, Daichi Igarashi, Pradipto +2
This study reveals a possible correlation between splashing morphology and the normalized impact force exerted by an impacting drop on a solid surface. This finding is obtained fro…
Features of a Splashing Drop on a Solid Surface and the Temporal Evolution extracted through Image-Sequence Classification using an Interpretable Feedforward Neural Network
Jingzu Yee, Daichi Igarashi, Akinori Yamanaka +1
This paper reports the features of a splashing drop on a solid surface and the temporal evolution, which are extracted through image-sequence classification using a highly interpre…
Image features of a splashing drop on a solid surface extracted using a feedforward neural network
Jingzu Yee, Akinori Yamanaka, Yoshiyuki Tagawa
This article reports nonintuitive characteristic of a splashing drop on a solid surface discovered through extracting image features using a feedforward neural network (FNN). Ethan…
Data assimilation for massive autonomous systems based on second-order adjoint method
Shin-ichi Ito, Hiromichi Nagao, Akinori Yamanaka +4
Data assimilation (DA) is a fundamental computational technique that integrates numerical simulation models and observation data on the basis of Bayesian statistics. Originally dev…