Our paper was presented 2024 IEEE 42nd International Conference on Electronics and Nanotechnology (ELNANO)

On May 15, 2024, the master of the department Yevhenii Saliy (group FI-31mn) presented a paper on the topic “Transfer Learning Approach for Oil Spills’ Detection Using SAR Satellite Data” (co-authored with professors of the department Natalia Kussul, Andrii Shelestov, master’s student Volodymyr Kuzin) in the section “Aerospace and electronic systems”.

The work is aimed at developing machine learning models for monitoring oil spills in the Mediterranean Sea. Training data directly for the Mediterranean Sea is currently not publicly available, which is why the technology for transferring trained machine learning models from an area with a sufficient amount of ground and training information to an area where such information is not available or not sufficient was developed in this work.
The work was carried out within the European project HORIZON Europe “Innovative solutions for Mediterranean Ecosystem Remediation via Monitoring and decontamination from Chemical Pollution” (iMERMAID).