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Computer Science

ISSN:

1508-2806

eISSN:

2300-7036

Publisher:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

Disciplines
(Field of Science):

  • architecture and urban planning (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)
  • environmental engineering, mining and energy (Engineering and Technology)
  • international relations (Social studies)
  • computer and information sciences (Natural sciences)
  • mathematics (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 40 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 40 Ministry scored journals list 2024
2023 40 Ministry Scored Journals List
2022 40 Ministry Scored Journals List 2019-2022
2021 40 Ministry Scored Journals List 2019-2022
2020 40 Ministry Scored Journals List 2019-2022
2019 40 Ministry Scored Journals List 2019-2022
2018 12 B
2017 12 B
2016 12 B
2015 12 B
2014 8 B
2013 8 B
2012 7 B
2011 7 B
2010 2 B

Model:

Open Access

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2022 1.5
Points CiteScore - previous years
Year Points
2022 1.5
2021 1.3
2020 1.1
2019 0.6
2018 0.4
2017 0.3

Impact Factor:

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Publishing policy:

License: CC BY 4.0
License
Creative Commons: BY 4.0 open in new tab
Information on publishing policy
https://journals.agh.edu.pl/csci/about/editorialPolicies#openAccessPolicy open in new tab
Information on the conditions of self-archiving
Included in license
Is self-archiving allowed by the journal?
Yes - without restrictions
Submitted Version Help
yes
Accepted Version Help
no
Published Version Help
yes
Information on research data policy
n/a
Months of embargo
no embargo
Additional information
Indexed in DOAJ
Must link to journal homepage with DOI.

Filters

total: 5

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Catalog Journals

Year 2020
Year 2017
  • From Linear Classifier to Convolutional Neural Network for Hand Pose Recognition
    Publication

    Recently gathered image datasets and the new capabilities of high-performance computing systems have allowed developing new artificial neural network models and training algorithms. Using the new machine learning models, computer vision tasks can be accomplished based on the raw values of image pixels instead of specific features. The principle of operation of deep neural networks resembles more and more what we believe to be happening...

    Full text available to download

  • Using Redis supported by NVRAM in HPC applications
    Publication

    Nowadays, the efficiency of storage systems is a bottleneck in many modern HPC clusters. High performance in the traditional approach – processing using files – is often difficult to obtain because of a model’s complexity and its read/write patterns. An alternative approach is to apply a key-value database, which usually has low latency and scales well. On the other hand, many key-value stores suffer from a limitation of memory...

    Full text available to download

Year 2013
Year 2012

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