2 citations · 2 across the 3 of their papers we have counts for
3 papers
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Abdelhakim Amer, David Felsager, Yury Brodskiy +1
Physics-informed neural networks (PINNs) integrate physical laws with data-driven models to improve generalization and sample efficiency. This work introduces an open-source implem…
Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection
Luiza Ribeiro Marnet, Yury Brodskiy, Stella Grasshof +1
Active learning aims to select the minimum amount of data to train a model that performs similarly to a model trained with the entire dataset. We study the potential of active lear…
UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-generation Framework
Abdelhakim Amer, Olaya Álvarez-Tuñón, Halil Ibrahim Ugurlu +3
Underwater robotic surveys can be costly due to the complex working environment and the need for various sensor modalities. While underwater simulators are essential, many existing…