Search
ISSN:
eISSN:
Disciplines
(Field of Science):
- biomedical engineering (Engineering and Technology)
- chemical engineering (Engineering and Technology)
- materials engineering (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- medical biology (Medical and Health Sciences )
- agriculture and horticulture (Agricultural sciences)
- international relations (Social studies)
- biotechnology (Natural sciences)
- biological sciences (Natural sciences)
- chemical sciences (Natural sciences)
(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 100 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 100 | Ministry scored journals list 2024 |
| 2023 | 100 | Ministry Scored Journals List |
| 2022 | 100 | Ministry Scored Journals List 2019-2022 |
| 2021 | 100 | Ministry Scored Journals List 2019-2022 |
| 2020 | 100 | Ministry Scored Journals List 2019-2022 |
| 2019 | 100 | Ministry Scored Journals List 2019-2022 |
| 2018 | 45 | A |
| 2017 | 45 | A |
| 2016 | 40 | A |
| 2015 | 40 | A |
| 2014 | 40 | A |
| 2013 | 45 | A |
| 2012 | 45 | A |
| 2011 | 45 | A |
| 2010 | 32 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 7.8 |
| Year | Points |
|---|---|
| 2023 | 7.8 |
| 2022 | 7.8 |
| 2021 | 7.3 |
| 2020 | 7.2 |
| 2019 | 6.4 |
| 2018 | 5.6 |
| 2017 | 6.4 |
| 2016 | 6.2 |
| 2015 | 7.2 |
| 2014 | 7.6 |
| 2013 | 7.8 |
| 2012 | 7.2 |
| 2011 | 7.8 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2024
-
Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
PublicationBiochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand for sustainable energy. Efficient management systems are needed in order to exploit fully the potential of biochar. Modern machine learning (ML) techniques, and in particular ensemble approaches and explainable AI methods, are valuable for forecasting the properties and efficiency of biochar properly. Machine-learning-based forecasts,...
Year 2020
-
Techno‐economic evaluation of a natural deep eutectic solvent‐based biorefinery: Exploring different design scenarios
PublicationThis paper presents a comprehensive techno‐economic evaluation of an integrated natural deep eutectic solvent (NADES)‐based biorefinery – a 1 ton day−1 capacity design plant. The key parameters include payback period, net present value (NPV), and internal rate of return (IRR). These were compared with the parameters of conventional biorefineries. The ‘n th plant’ results clearly revealed that the single product‐based biorefinery...
seen 608 times