Machine Learning-Based NO2 Estimation From Seagoing Ships Using TROPOMI/S5P Satellite Data

Kurchaba, S. (Solomiia)

LIACS Thesis Repository

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PhD Computer Science

The following thesis was written by a student in the 2024 class of the PhD Computer Science programme at Leiden University.

Thesis details

Title	Machine Learning-Based NO2 Estimation From Seagoing Ships Using TROPOMI/S5P Satellite Data
Student	Kurchaba, S. (Solomiia)
Programme	PhD Computer Science
Year	2024
Supervisors	Verbeek, prof.dr.ir. F.J. (Fons) prof.dr. J.J. Meulman (second supervisor) Veenman, dr. C.J. (Cor)
More information	Thesis information

Citation details

Kurchaba, S. (Solomiia), Machine Learning-Based NO2 Estimation From Seagoing Ships Using TROPOMI/S5P Satellite Data, Thesis PhD Computer Science, LIACS, Leiden University, 2024.