CBR systems have never been used before to solve oil slicks problems. The proposed system uses information obtained from various satellites such as salinity, ...
The system presented here forecasts the presence or not of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning ...
Abstract. Oil spills represent one of the most destructing environmental disasters. Predicting the possibility of finding oil.
The system presented here forecasts the presence or not of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning ...
Sep 5, 2024 · WeVoS-CBR system has been able to accurately predict the presence of oil slicks in the north west of the Galician coast, using historical data.
CBR systems have never been used before to solve oil slicks problems. The proposed system uses information obtained from various satellites such as salinity, ...
A new predicting system is presented in which the aim is to forecast the presence of oil slicks in a certain area of the open sea after an oil spill. Case-Based ...
People also ask
How can we solve the problem of oil spills?
What is the CEN methodology for oil spill identification?
What are the three approaches to remediating oil spills?
Abstract. The hybrid intelligent system presented here, forecasts the presence or not of oil slicks in a certain area of the open sea after an oil spill ...
A new CBR approach to the oil spill problem | Documents ...
produccioncientifica.usal.es › documentos
A new CBR approach to the oil spill problem ; ISSN · 0922-6389 ; ISBN · 978158603891 ; Year of publication · 2008 ; Volume · 178 ; Pages · 643-647.
The proposed CBR includes a novel network for data classification and data retrieval. Such network works as a summarization algorithm for the results of an ...