ISSN:
eISSN:
Disciplines
(Field of Science):
- information and communication technology (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- forestry (Agricultural sciences)
- agriculture and horticulture (Agricultural sciences)
- biotechnology (Natural sciences)
- computer and information sciences (Natural sciences)
- biological 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 | 25 | A |
2017 | 25 | A |
2016 | 25 | A |
2015 | 25 | A |
2014 | 25 | A |
2013 | 20 | A |
2012 | 20 | A |
2011 | 20 | A |
2010 | 20 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 8.3 |
Year | Points |
---|---|
2023 | 8.3 |
2022 | 6.1 |
2021 | 5.4 |
2020 | 4.9 |
2019 | 4.4 |
2018 | 4.3 |
2017 | 4.4 |
2016 | 3.5 |
2015 | 3.2 |
2014 | 3.5 |
2013 | 3.7 |
2012 | 3.4 |
2011 | 2.8 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2024
-
An intelligent cellular automaton scheme for modelling forest fires
PublicationForest fires have devastating consequences for the environment, the economy and human lives. Understanding their dynamics is therefore crucial for planning the resources allocated to combat them effectively. In a world where the incidence of such phenomena is increasing every year, the demand for efficient and accurate computational models is becoming increasingly necessary. In this study, we perform a revision of an initial proposal...
Year 2023
-
Application of a stochastic compartmental model to approach the spread of environmental events with climatic bias
PublicationWildfires have significant impacts on both environment and economy, so understanding their behaviour is crucial for the planning and allocation of firefighting resources. Since forest fire management is of great concern, there has been an increasing demand for computationally efficient and accurate prediction models. In order to address this challenge, this work proposes applying a parameterised stochastic model to study the propagation...
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