activity
20172022
collaborators

7 papers

cs.CV2022

Rabbit, toad, and the Moon: Can machine categorize them into one class?

Daigo Shoji

Recent machine learning algorithms such as neural networks can classify objects and actions in video frames with high accuracy. Here, I discuss a classification of objects based on…

astro-ph.EP2020

Enceladus Farm: Can plants grow with Enceladus' water? (Preliminary Report)

Daigo Shoji

Enceladus is a saturnian satellite that should have liquid water inside of it (subsurface ocean). Measurements and experiments on water plume from Enceladus have revealed that Ence…

astro-ph.EP2019

Angle of repose of Martian wet sand using discrete element method: Implication for the seasonal cycle of recurring slope lineae(RSL) by relative humidity

Daigo Shoji, Shoko Imamura, Maya Nakamura +1

Seasonal cycle of Martian relative humidity shows that, in the southern and the northern RSL sites, humidity decreases when RSL increment while humidity is high on the fading seaso…

astro-ph.EP2018

Condition for the deflection of vertical cracks at dissimilar ice interfaces on Europa

Daigo Shoji

The surface of Europa contains many quasi-circular morphologies called lenticulae. Although the formation mechanism of lenticulae is not understood, sill intrusion from the subsurf…

physics.geo-ph2018

Classification of volcanic ash particles using a convolutional neural network and probability

Daigo Shoji, Rina Noguchi, Shizuka Otsuki +1

Analyses of volcanic ash are typically performed either by qualitatively classifying ash particles by eye or by quantitatively parameterizing its shape and texture. While complex s…

cs.CV2017

What does a convolutional neural network recognize in the moon?

Daigo Shoji

Many people see a human face or animals in the pattern of the maria on the moon. Although the pattern corresponds to the actual variation in composition of the lunar surface, the c…