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(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- safety engineering (Engineering and Technology)
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(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 70 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 70 | Ministry scored journals list 2024 |
| 2023 | 70 | Ministry Scored Journals List |
| 2022 | 70 | Ministry Scored Journals List 2019-2022 |
| 2021 | 70 | Ministry Scored Journals List 2019-2022 |
| 2020 | 70 | Ministry Scored Journals List 2019-2022 |
| 2019 | 70 | Ministry Scored Journals List 2019-2022 |
| 2018 | 25 | A |
| 2017 | 25 | A |
| 2016 | 20 | A |
| 2015 | 25 | A |
| 2014 | 20 | A |
| 2013 | 25 | A |
| 2012 | 20 | A |
| 2011 | 20 | A |
| 2010 | 20 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 7.4 |
| Year | Points |
|---|---|
| 2023 | 7.4 |
| 2022 | 5.9 |
| 2021 | 4.7 |
| 2020 | 3.4 |
| 2019 | 2.9 |
| 2018 | 3.1 |
| 2017 | 3 |
| 2016 | 2.6 |
| 2015 | 2.3 |
| 2014 | 1.9 |
| 2013 | 1.9 |
| 2012 | 2 |
| 2011 | 1.9 |
Impact Factor:
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Papers published in journal
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total: 3
Catalog Journals
Year 2024
-
An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
PublicationSentiment analysis is an automated approach which is utilized in process of analysing textual data to describe public opinion. The sentiment analysis has major role in creating impact in the day-to-day life of individuals. However, a precise interpretation of text still relies as a major concern in classifying sentiment. So, this research introduced Bidirectional Long Short Term Memory with Ranger AdaBelief Optimizer (Bi-LSTM RAO)...
Year 2012
-
Gaussian mixture decomposition in the analysis of MALDI-TOF spectra
Publication -
SDF classifier revisited
PublicationArtykuł dotyczy problemów związanych z konstruowaniem klasyfikatorów wykorzystujących tzw. dyskryminacyjną funkcję samopodobieństwa (ang. Similarity Discriminant Function - SDF), w których tradycyjna, wektorowa reprezentacja obrazu została zastąpiona przez dane o strukturze macierzowej. Zaprezentowano możliwości modyfikowania macierzowych struktur danych i zaproponowano nowe warianty kryterium SDF. Przedstawione algorytmy zostały...
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