We have been constructing a swimming ability improvement support system. One of the
issues to be addressed is the automatic classification of swimming styles (backstroke, …

As of August 2021, COVID-19 is still spreading in Japan. Vaccination, one of the key
measures to bring COVID-19 under control, began in February 2021. Previous studies have …

Background Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous
syndrome requiring improved phenotypic classification. Previous studies have identified …

In this study, we employ a convolutional neural network to classify gravitational waves
originating from core-collapse supernovae. Training is conducted using spectrograms derived …

The human motion analysis using wearable sensors such as accelerometers and gyroscopes
is one of the important issues in ubiquitous and wearable computing. Inspired by a paper …

Heart failure is related to pulmonary artery wedge pressure (PAWP), which is one of the
measurements for diagnosing heart disease. In the case of suspected heart failure, it is desirable …

The effectiveness of the first dose of vaccination for COVID-19 is different from that of the
second dose; therefore, in several studies, various mathematical models that can represent the …

To improve the movement performance of athletes, it is desirable to have an environment in
which the movement quality ca be accurately assessed. For that reason, in this study, we …

Gaussian process-based Bayesian optimization (GPBO) is used to search parameters in
machine learning, material design, etc. It is a method for finding optimal solutions in a search …

Class/Regression Activation Maps (CAMs/RAMs; AMs) are often embedded into Convolutional
Neural Networks (CNNs) for checking activated regions on input images at estimation. …