ISSN:
eISSN:
Disciplines
(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- medical biology (Medical and Health Sciences )
- pharmacology and pharmacy (Medical and Health Sciences )
- health sciences (Medical and Health Sciences )
- management and quality studies (Social studies)
- biotechnology (Natural sciences)
- computer and information sciences (Natural sciences)
- biological sciences (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 100 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 100 | Ministry scored journals list 2024 |
2023 | 100 | Ministry Scored Journals List |
2022 | 100 | Ministry Scored Journals List 2019-2022 |
2021 | 100 | Ministry Scored Journals List 2019-2022 |
2020 | 100 | Ministry Scored Journals List 2019-2022 |
2019 | 100 | Ministry Scored Journals List 2019-2022 |
2018 | 20 | A |
2017 | 20 | A |
2016 | 20 | A |
2015 | 20 | A |
2014 | 20 | A |
2013 | 20 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 9.3 |
Year | Points |
---|---|
2023 | 9.3 |
2022 | 7.7 |
2021 | 8.6 |
2020 | 8.6 |
2019 | 8.2 |
2018 | 7.1 |
2017 | 6.5 |
2016 | 4.7 |
2015 | 3.5 |
2014 | 2.7 |
2013 | 2.3 |
2012 | 2.9 |
2011 | 2.2 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2022
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Mining Knowledge of Respiratory Rate Quantification and Abnormal Pattern Prediction
PublicationThe described application of granular computing is motivated because cardiovascular disease (CVD) remains a major killer globally. There is increasing evidence that abnormal respiratory patterns might contribute to the development and progression of CVD. Consequently, a method that would support a physician in respiratory pattern evaluation should be developed. Group decision-making, tri-way reasoning, and rough set–based analysis...
Year 2015
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Autonomous Driver Based on an Intelligent System of Decision-Making
PublicationThe paper presents and discusses a system (xDriver) which uses an Intelligent System of Decision-making (ISD) for the task of car driving. The principal subject is the implementation, simulation and testing of the ISD system described earlier in our publications for the task of autonomous driving. The design of the whole ISD system is a result of a thorough modelling of human psychology based on an extensive literature study. Concepts...
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