📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Early detection of COPD patients' symptoms with personal environmental sensors: a remote sensing framework using probabilistic latent component analysis with linear dynamic systems (2023)

First Author: Kolozali S

Attributed to: MRC-PHE Centre for Environment and Health funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s00521-023-08554-5

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85154530064

Type: Journal Article/Review

Parent Publication: Neural Computing and Applications

Issue: 23