Open AccessA survey on predicting oil spills by studying its causes using deep learning techniques
Author(s) -
Mosr,
Fahd Kamal Al-Sheref,
Yasmen Samhan Abd Elwahab
Publication year - 2021
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v22.i1.pp580-589
Subject(s) - accident (philosophy) , oil spill , point (geometry) , work (physics) , risk analysis (engineering) , field (mathematics) , life span , computer science , forensic engineering , field survey , operations research , engineering , civil engineering , business , petroleum engineering , mathematics , mechanical engineering , gerontology , medicine , philosophy , geometry , epistemology , pure mathematics
It’s so easy to know the accidents as it’s already happened and solving these accidents is immediately handled, but searching for a solution for these accidents, don’t deny the existence of reasons that made accidents happen. Knowing the source of accidents will help in avoiding them to occur in the future. It’s an important field in searching as some human lives depend on the safety of such a field, so it’s so important to use a powerful technique to define these reasons as the research point in spill accidents and predicting accidents and to predict the occurrence of the accident before its happening depending on its reasons that lead to that accident in past times so with similar conditions it might happen an accident but it needs a sufficient data and a powerful technique such as deep learning techniques that give very precise results and by using this tool an Intelligent Model will build to predict oil spilling. In this survey paper, related work will be discussed to enhance that work.