ISSN:
eISSN:
Disciplines
(Field of Science):
- architecture and urban planning (Engineering and Technology)
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- pharmacology and pharmacy (Medical and Health Sciences )
- security studies (Social studies)
- astronomy (Natural sciences)
- physical sciences (Natural sciences)
(Field of Science)
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 | 40 | A |
2017 | 40 | A |
2016 | 35 | A |
2015 | 40 | A |
2014 | 35 | A |
2013 | 30 | A |
2012 | 25 | A |
2011 | 25 | A |
2010 | 20 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 11.7 |
Year | Points |
---|---|
2023 | 11.7 |
2022 | 10.6 |
2021 | 10.2 |
2020 | 8.7 |
2019 | 8 |
2018 | 7.1 |
2017 | 6.5 |
2016 | 5.4 |
2015 | 4.5 |
2014 | 4.4 |
2013 | 4.7 |
2012 | 3.8 |
2011 | 3.1 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 4
Catalog Journals
Year 2022
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A novel approach exploiting properties of convolutional neural networks for vessel movement anomaly detection and classification
PublicationThe article concerns the automation of vessel movement anomaly detection for maritime and coastal traffic safety services. Deep Learning techniques, specifically Convolutional Neural Networks (CNNs), were used to solve this problem. Three variants of the datasets, containing samples of vessel traffic routes in relation to the prohibited area in the form of a grayscale image, were generated. 1458 convolutional neural networks with...
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A robust sliding mode observer for non-linear uncertain biochemical systems
PublicationA problem of state estimation for a certain class of non-linear uncertain systems has been addressed in this paper. In particular, a sliding mode observer has been derived to produce robust and stable estimates of the state variables. The stability and robustness of the proposed sliding mode observer have been investigated under parametric and unstructured uncertainty in the system dynamics. In order to ensure an unambiguous non-linear...
Year 2020
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Fuzzy Multi-Regional Fractional PID controller for Pressurized Water nuclear Reactor
PublicationThe paper presents the methodology for the synthesis of a Fuzzy Multi-Regional Fractional Order PID controller (FMR-FOPID) used to control the average thermal power of a PWR nuclear reactor in the load following mode. The controller utilizes a set of FOPID controllers and the fuzzy logic Takagi-Sugeno reasoning system. The proposed methodology is based on two optimization parts. The first part is devoted to finding the optimal...
Year 2019
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Control of a vapour microturbine set in cogeneration applications
PublicationSystems with microturbines are implemented for local generation of heat and electricity. This paper presents the analysis of control concepts for a vapour microturbine set with a generator with permanent magnets, intended to work in small heat and power plants. Control system variants differed by the selection of controlled signals and set parameters. Possible ways of control were discussed and compared with experimentally determined...
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