A Novel Physical Activity Recognition Approach Using Deep Ensemble Optimized Transformers and Reinforcement Learning
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
Neural networks
ISSN (print)
0893-6080
ISSN (electronic)
1879-2782
ISSN (linking)
0893-6080
Publisher
Elsevier
Publication forum ID
63865
Publication forum level
3
Internationality
Yes
Detailed publication information
Publication year
2024
Reporting year
2024
Journal/series volume number
173
Article number
106159
DOI
10.1016/j.neunet.2024.106159
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Funding information
Funding information in the publication
The present study is connected to the DigiHealth project, a strategic profiling project at the University of Oulu. The project is supported by the Academy of Finland (project number 326291) and the University of Oulu. This study was also in part supported by the Ministry of Education and Culture in Finland (grant numbers OKM/20/626/2022, OKM/76/626/2022, OKM/68/626/2023). The funders played no role in designing the study, or collecting, analyzing, and interpreting the data, or writing the manuscript.
Research data information
Research data information in the publication
Data will be made available on request.
Source database ID
WoS ID
WOS:001182524300001
Scopus ID
2-s2.0-85184521425
Other database ID
PMID: 38342080