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/technical challenges Project FITNESS will build upon and extend state-of-the-art methods [1], [2] recently developed within the team, showing to outperform existing, machine-learning based approaches in
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combined with Machine Learning algorithms, this thesis aims to study long-term temporal trends in tropospheric ozone (O3) in Europe across different type of environments (background, rural, urban), while
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conditions, equal rights, peace, freedom of speech, a better environment? Well, you are in luck: as VUBer you could not be better placed to have an impact on these issues, thanks to the knowledge you acquire
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informing users and the network of new settings. The goal is to define an adaptive multicast framework leveraging error correction and machine learning to optimize parameters in real time [8]. 1.2. Scientific
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, machine learning, remote sensing, and oceanography to tackle the challenges of capturing and interpreting complex geophysical processes. 1.5. References [1] Torres, R., Snoeij, P., Geudtner, D., Bibby, D