Human activity recognition (HAR) has become an interesting topic in healthcare. This
application is important in various domains, such as health monitoring, supporting elders …

Machine learning is an extremely important technique that has become heavily used in
different types of applications such as detection systems for fraud, intrusion or fault and …

Underlying latent factors may cause a person to feel unwell. As the influence of the latent
factors increases, the person will become sick. It is difficult to directly measure the influence …

Today, thanks to the development of wearable devices, people can easily accumulate and
get access to their own health data. Through these health data, individuals can better …

Nowadays, more and more unmanned systems are adopting time series anomaly detection
algorithms as the primary tool for KPI monitoring. However, many anomalous data in real …

Underlying latent factors may cause a person to feel unwell. As the influence of the latent
factors increases, the person will become sick. It is difficult to directly measure the influence …

To provide an effective way to optimize the diagnosis and treatment process, in this
research, our model of erroneous medical diagnosis is developed from the association rule …

Anomaly detection is quickly becoming a very significant tool for a variety of applications
such as intrusion detection, fraud detection, fault detection, system health monitoring, and …

センサーやデバイスの発展により, 自分のバイタルサインなどの健康に関わるヘルスデータを
ウェアラブルデバイスなどを通じて手軽に取得できるようになった. 心拍数の急激な上昇などを警告 …