Search
ISSN:
1093-9687
eISSN:
1467-8667
Disciplines
(Field of Science):
- architecture and urban planning (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- mechanical engineering (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- heritage protection and conservation of monuments (Engineering and Technology)
- computer and information sciences (Natural sciences)
(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 | 45 | A |
| 2017 | 45 | A |
| 2016 | 45 | A |
| 2015 | 45 | A |
| 2014 | 45 | A |
| 2013 | 45 | A |
| 2012 | 45 | A |
| 2011 | 45 | A |
| 2010 | 32 | A |
Model:
Hybrid
Points CiteScore:
| Year | Points |
|---|---|
| Year 2022 | 16.9 |
| Year | Points |
|---|---|
| 2022 | 16.9 |
| 2021 | 17.2 |
| 2020 | 17.1 |
| 2019 | 12 |
| 2018 | 10 |
| 2017 | 9.5 |
| 2016 | 8.8 |
| 2015 | 8.4 |
| 2014 | 8.4 |
| 2013 | 7.7 |
| 2012 | 6.1 |
| 2011 | 5.2 |
Impact Factor:
Log in to see the Impact Factor.
Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2024
-
Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
PublicationOne of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the ability to anticipate their flexural response. With a comprehensive grid search, several stacked models (i.e., chained, parallel) consisting of various machine learning (ML) algorithms and artificial neural networks (ANNs) were developed to predict the flexural response of SFRC beams. The flexural performance of SFRC beams under bending was...
Year 2017
seen 161 times