HIGHLIGHTS
- who: Umer Saeed from the Research Centre for Intelligent Healthcare, Coventry University, Coventry , FB, UK have published the Article: AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning, in the Journal: (JOURNAL)
- what: This study is focused on the eight most common types of respiration patterns as illustrated in Fig 2. In this study, an ensemble learning-based technique ERT (Geurts et_al 2006) is investigated along with decision tree (DT) and multilayer perceptron (MLP). In this paper, a lightweight real-time solution is proposed for the identification of anomalous . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.