ISSN:
eISSN:
Disciplines
(Field of Science):
- information and communication technology (Engineering and Technology)
- safety engineering (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- mechanical engineering (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 | 200 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 200 | Ministry scored journals list 2024 |
2023 | 200 | Ministry Scored Journals List |
2022 | 200 | Ministry Scored Journals List 2019-2022 |
2021 | 200 | Ministry Scored Journals List 2019-2022 |
2020 | 200 | Ministry Scored Journals List 2019-2022 |
2019 | 200 | Ministry Scored Journals List 2019-2022 |
2018 | 45 | A |
2017 | 45 | A |
2016 | 45 | A |
2015 | 45 | A |
2014 | 45 | A |
2013 | 45 | A |
2012 | 40 | A |
2011 | 40 | A |
2010 | 32 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 14 |
Year | Points |
---|---|
2023 | 14 |
2022 | 13.4 |
2021 | 12.1 |
2020 | 12.1 |
2019 | 11.3 |
2018 | 10.4 |
2017 | 10 |
2016 | 8.6 |
2015 | 7.9 |
2014 | 7.4 |
2013 | 7.7 |
2012 | 7.7 |
2011 | 7.1 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 6
Catalog Journals
Year 2024
-
Bimodal deep learning model for subjectively enhanced emotion classification in films
PublicationThis research delves into the concept of color grading in film, focusing on how color influences the emotional response of the audience. The study commenced by recalling state-of-the-art works that process audio-video signals and associated emotions by machine learning. Then, assumptions of subjective tests for refining and validating an emotion model for assigning specific emotional labels to selected film excerpts were presented....
Year 2022
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Defending against Fake VIP in Scant-Transparency Information Systems with QoS Differentiation
PublicationIn client-server information systems with quality of service (QoS) differentiation, Client may deplete Server’s resources by demanding unduly high QoS level. Such QoS abuse has eluded systematic treatment; known defenses using Client authorization, payments, or service request inspection prior to QoS assignment, are heuristic and environment-specific. We offer a game-theoretic approach on the premise that a service request is occasionally...
Year 2018
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Normalization of face illumination using basic knowledge and information extracted from a single image
PublicationThis paper presents a method for face image normalization that can be applied to the extraction of illumination invariant facial features or used to remove bad lighting effects and produce high-quality, photorealistic results. Most of the existing approaches concentrate on separating the constant albedo from the variable light intensity; that concept, however, is based on the Lambertian model, which fails in the presence of specularities...
Year 2017
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MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.
Publication
Year 2015
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Massive surveillance data processing with supercomputing cluster
PublicationIn recent years, increasingly complex algorithms for automated analysis of surveillance data are being developed. The rapid growth in the number of monitoring installations and higher expectations of the quality parameters of the captured data result in an enormous computational cost of analyzing the massive volume of data. In this paper a new model of online processing of surveillance data streams is proposed, which assumes the...
Year 2014
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Acceleration of decision making in sound event recognition employing supercomputing cluster
PublicationParallel processing of audio data streams is introduced to shorten the decision making time in hazardous sound event recognition. A supercomputing cluster environment with a framework dedicated to processing multimedia data streams in real time is used. The sound event recognition algorithms employed are based on detecting foreground events, calculating their features in short time frames, and classifying the events with Support...
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