6 citations · 12 across the 4 of their papers we have counts for
4 papers
Artificial intelligence pioneers the double-strangeness factory
Yan He, Takehiko R. Saito, Hiroyuki Ekawa +11
Artificial intelligence (AI) is transforming not only our daily experiences but also the technological development landscape and scientific research. In this study, we pioneered th…
Binding energy of and via image analyses of nuclear emulsions using deep-learning
Ayumi Kasagi, Takehiko R. Saito, Vasyl Drozd +16
Subatomic systems are pivotal for understanding fundamental baryonic interactions, as they provide direct access to quark-level degrees of freedom. In particular, introducing a str…
A novel machine learning method to detect double- hypernuclear events in nuclear emulsions
Yan He, Vasyl Drozd, Hiroyuki Ekawa +17
A novel method was developed to detect double- hypernuclear events in nuclear emulsions using machine learning techniques. The object detection model, the Mask R-CNN, was traine…
Hypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning
A. Kasagi, W. Dou, V. Drozd +18
This study developed a novel method for detecting hypernuclear events recorded in nuclear emulsion sheets using machine learning techniques. The artificial neural network-based obj…