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Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 140 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 140 | Ministry scored journals list 2024 |
| 2023 | 140 | Ministry Scored Journals List |
| 2022 | 140 | Ministry Scored Journals List 2019-2022 |
| 2021 | 140 | Ministry Scored Journals List 2019-2022 |
| 2020 | 140 | Ministry Scored Journals List 2019-2022 |
| 2019 | 140 | Ministry Scored Journals List 2019-2022 |
| 2018 | 25 | A |
| 2017 | 25 | A |
| 2016 | 20 | A |
| 2015 | 25 | A |
| 2014 | 25 | A |
| 2013 | 25 | A |
| 2012 | 20 | A |
| 2011 | 20 | A |
| 2010 | 13 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 9.8 |
| Year | Points |
|---|---|
| 2023 | 9.8 |
| 2022 | 8.2 |
| 2021 | 6.9 |
| 2020 | 7 |
| 2019 | 6.3 |
| 2018 | 5.4 |
| 2017 | 5.1 |
| 2016 | 4.6 |
| 2015 | 3.8 |
| 2014 | 2.9 |
| 2013 | 3.2 |
| 2012 | 2.5 |
| 2011 | 2.7 |
Impact Factor:
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Papers published in journal
Filters
total: 5
Catalog Journals
Year 2023
-
Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition
PublicationBrain–computer interfaces (BCIs) aim to decode brain signals and transform them into commands for device operation. The present study aimed to decode the brain activity during imagined speech. The BCI must identify imagined words within a given vocabulary and thus perform the requested action. A possible scenario when using this approach is the gradual addition of new words to the vocabulary using incremental learning methods....
Year 2022
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Towards classification of patients based on surface EMG data of temporomandibular joint muscles using self-organising maps
PublicationThe study considers the need for an effective method of classification of patients with a temporomandibular joint disorder (TMD). The self-organising map method (SOM) was applied to group patients and used together with the cross-correlation approach to interpret the processed (rectified and smoothed by using root mean square (RMS) algorithm) surface electromyography signal (sEMG) obtained from testing the muscles (two temporal...
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Towards classification of patients based on surface EMG data of temporomandibular joint muscles using self-organising maps
Publication
Year 2021
Year 2019
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Transfer learning in imagined speech EEG-based BCIs
PublicationThe Brain–Computer Interfaces (BCI) based on electroencephalograms (EEG) are systems which aim is to provide a communication channel to any person with a computer, initially it was proposed to aid people with disabilities, but actually wider applications have been proposed. These devices allow to send messages or to control devices using the brain signals. There are different neuro-paradigms which evoke brain signals of interest...
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