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Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2023 | 140 | Ministry Scored Journals List 2019 |
| Year | Points | List |
|---|---|---|
| 2023 | 140 | Ministry Scored Journals List 2019 |
| 2022 | 140 | Ministry Scored Journals List 2019 |
| 2021 | 140 | Ministry Scored Journals List 2019 |
| 2020 | 140 | Ministry Scored Journals List 2019 |
| 2019 | 140 | Ministry Scored Journals List 2019 |
| 2018 | 35 | A |
| 2017 | 35 | A |
| 2016 | 35 | A |
| 2015 | 35 | A |
| 2014 | 30 | A |
| 2013 | 35 | A |
| 2012 | 30 | A |
| 2011 | 30 | A |
| 2010 | 32 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2021 | 11 |
| Year | Points |
|---|---|
| 2021 | 11 |
| 2020 | 9 |
| 2019 | 8 |
| 2018 | 6.8 |
| 2017 | 6.3 |
| 2016 | 6.5 |
| 2015 | 5.6 |
| 2014 | 4.9 |
| 2013 | 4.5 |
| 2012 | 4.8 |
| 2011 | 4.4 |
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Papers published in journal
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total: 4
Catalog Journals
Year 2020
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Interpretation and modeling of emotions in the management of autonomous robots using a control paradigm based on a scheduling variable
PublicationThe paper presents a technical introduction to psychological theories of emotions. It highlights a usable ideaimplemented in a number of recently developed computational systems of emotions, and the hypothesis thatemotion can play the role of a scheduling variable in controlling autonomous robots. In the main part ofthis study, we outline our own computational system of emotion – xEmotion – designed as a key structuralelement in...
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Super-resolved Thermal Imagery for High-accuracy Facial Areas Detection and Analysis
PublicationIn this study, we evaluate various Convolutional Neural Networks based Super-Resolution (SR) models to improve facial areas detection in thermal images. In particular, we analyze the influence of selected spatiotemporal properties of thermal image sequences on detection accuracy. For this purpose, a thermal face database was acquired for 40 volunteers. Contrary to most of existing thermal databases of faces, we publish our dataset...
Year 2017
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Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble
PublicationThis paper proposes a novel approach for intelligent fault diagnosis for stroke Diesel marine engines, which are commonly used in on-road and marine transportation. The safety and reliability of a ship's work rely strongly on the performance of such an engine; therefore, early detection of any type of failure that affects the engine is of crucial importance. Automatic diagnostic systems are of special importance because they can...
Year 2011
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