7 papers
Decodable but not structured: linear probing enables Underwater Acoustic Target Recognition with pretrained audio embeddings
Hilde I. Hummel, Sandjai Bhulai, Rob D. van der Mei +1
Increasing levels of anthropogenic noise from ships contribute significantly to underwater sound pollution, posing risks to marine ecosystems. This makes monitoring crucial to unde…
Detecting Religious Language in Climate Discourse
Evy Beijen, Pien Pieterse, Yusuf Ãelik +3
Religious language continues to permeate contemporary discourse, even in ostensibly secular domains such as environmental activism and climate change debates. This paper investigat…
Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications
Arwin Gansekoele, Sandjai Bhulai, Mark Hoogendoorn +1
In the era of telecommunications, the increasing demand for complex and specialized communication systems has led to a focus on improving physical layer communications. Artificial…
Automated data curation for self-supervised learning in underwater acoustic analysis
Hilde I Hummel, Sandjai Bhulai, Burooj Ghani +1
The sustainability of the ocean ecosystem is threatened by increased levels of sound pollution, making monitoring crucial to understand its variability and impact. Passive acoustic…
The Computation of Generalized Embeddings for Underwater Acoustic Target Recognition using Contrastive Learning
Hilde I. Hummel, Arwin Gansekoele, Sandjai Bhulai +1
The increasing level of sound pollution in marine environments poses an increased threat to ocean health, making it crucial to monitor underwater noise. By monitoring this noise, t…
Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges
Erica van der Sar, Alessandro Zocca, Sandjai Bhulai
Power grid operation is becoming increasingly complex due to the rising integration of renewable energy sources and the need for more adaptive control strategies. Reinforcement Lea…