ISSN:
eISSN:
Disciplines
(Field of Science):
- architecture and urban planning (Engineering and Technology)
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- safety engineering (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- materials engineering (Engineering and Technology)
- mechanical engineering (Engineering and Technology)
- management and quality studies (Social studies)
- international relations (Social studies)
(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 | 35 | A |
2017 | 35 | A |
2016 | 30 | A |
2015 | 30 | A |
2014 | 30 | A |
2013 | 35 | A |
2012 | 25 | A |
2011 | 25 | A |
2010 | 27 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 19.3 |
Year | Points |
---|---|
2023 | 19.3 |
2022 | 17.3 |
2021 | 13.3 |
2020 | 10.6 |
2019 | 8.1 |
2018 | 6.6 |
2017 | 5.8 |
2016 | 5.5 |
2015 | 5.3 |
2014 | 4 |
2013 | 3 |
2012 | 2.3 |
2011 | 2.4 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 4
Catalog Journals
Year 2024
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Machine learning approach to packaging compatibility testing in the new product development process
PublicationThe paper compares the effectiveness of selected machine learning methods as modelling tools supporting the selection of a packaging type in new product development process. The main goal of the developed model is to reduce the risk of failure in compatibility tests which are preformed to ensure safety, durability, and efficacy of the finished product for the entire period of its shelf life and consumer use. This kind of testing...
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Workplace performance measurement: digitalization of work observation and analysis
Publication
Year 2023
-
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review
Publication
Year 2013
-
Feature-based generation of machining process plans for optimised parts manufacture
PublicationPrzedstawiono aktualne zagadnienia związane z integracją systemów CAD/CAM/CAPP. Opracowano model informacyjny danych dla systemu CAPP w postaci zapisu macierzowego. Zawarto algorytm tworzenia rozwiązań wariantowych i wyboru optymalnego procesu technologicznego obróbki. Proponowany algorytm działania zweryfikowano na rzeczywistym przykładzie z praktyki przemysłu.
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