ISSN:
0941-0643
eISSN:
1433-3058
Disciplines
(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- safety engineering (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- management and quality studies (Social studies)
- international relations (Social studies)
- computer and information 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 | 25 | A |
2017 | 25 | A |
2016 | 20 | A |
2015 | 25 | A |
2014 | 25 | A |
2013 | 20 | A |
2012 | 15 | A |
2011 | 15 | A |
2010 | 20 | A |
Model:
Hybrid
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 11.4 |
Year | Points |
---|---|
2023 | 11.4 |
2022 | 10 |
2021 | 8.7 |
2020 | 7.3 |
2019 | 6.5 |
2018 | 4.9 |
2017 | 5.4 |
2016 | 5.2 |
2015 | 4 |
2014 | 2.6 |
2013 | 2 |
2012 | 1.8 |
2011 | 1.5 |
Impact Factor:
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Sherpa Romeo:
Papers published in journal
Filters
total: 4
Catalog Journals
Year 2013
-
Designing of an effective structure of system for the maintenance of a technical object with the using information from an artificial neural network
Publication -
Determination of the impact indicators of electromagnetic interferences on computer information systems
Publication
Year 2020
-
Applying artificial neural networks for modelling ship speed and fuel consumption
PublicationThis paper deals with modelling ship speed and fuel consumption using artificial neural network (ANN) techniques. These tools allowed us to develop ANN models that can be used for predicting both the fuel consumption and the travel time to the destination for commanded outputs (the ship driveline shaft speed and the propeller pitch) selected by the ship operator. In these cases, due to variable environmental conditions, making...
Year 2021
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