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ISSN:
1567-7818
eISSN:
1572-9796
Disciplines
(Field of Science):
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- computer and information sciences (Natural sciences)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 40 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 40 | Ministry scored journals list 2024 |
| 2023 | 40 | Ministry Scored Journals List |
| 2022 | 40 | Ministry Scored Journals List 2019-2022 |
| 2021 | 40 | Ministry Scored Journals List 2019-2022 |
| 2020 | 40 | Ministry Scored Journals List 2019-2022 |
| 2019 | 40 | Ministry Scored Journals List 2019-2022 |
| 2018 | 25 | A |
| 2017 | 25 | A |
| 2016 | 25 | A |
| 2015 | 20 | A |
| 2014 | 15 | A |
| 2013 | 20 | A |
Model:
Hybrid
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 4.4 |
| Year | Points |
|---|---|
| 2023 | 4.4 |
| 2022 | 4 |
| 2021 | 4.3 |
| 2020 | 3.5 |
| 2019 | 2.7 |
| 2018 | 2.1 |
| 2017 | 2.2 |
| 2016 | 2.5 |
| 2015 | 2.5 |
| 2014 | 2.5 |
| 2013 | 2.7 |
| 2012 | 2.5 |
| 2011 | 2.4 |
Impact Factor:
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Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2018
-
Affine continuous cellular automata solving the fixed-length density classification problem
Publication
Year 2015
-
Knowledge representation of motor activity of patients with Parkinson’s disease
PublicationAn approach to the knowledge representation extraction from biomedical signals analysis concerning motor activity of Parkinson disease patients is proposed in this paper. This is done utilizing accelerometers attached to their body as well as exploiting video image of their hand movements. Experiments are carried out employing artificial neural networks and support vector machine to the recognition of characteristic motor activity...
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