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Deep learning techniques applied to the remote sensing of soil moisture and sea ice type
This thesis presents deep learning techniques applied to the modeling of geophysical quantities with remote sensing data to estimate soil moisture and classify sea ice type. The objective of the thesis is to determine if ...
Adaptive machine learning and signal processing detection schemes for DDoS attacks
When cybersecurity flaws cause devices to be vulnerable to cyber-attacks, the functionality of these physical devices can be compromised which ultimately affects society. To prevent these attacks, intrusion detection systems ...
Improving cross-dataset generalization in image classification with contrastive representation learning
Regular monitoring of marine wildlife is essential for rapid detection of changes in the marine ecosystem allowing for adaptive strategies. However, the manual analysis of large volumes of underwater images taken by cameras ...