19 papers
How many labels do you need? A decision framework for cross-habitat marine species recognition
Alzayat Saleh, Mostafa Rahimi Azghadi
Automated image recognition is increasingly used to scale ecological monitoring beyond manual annotation, yet ecologists lack evidence-based guidance on how much labelling effort r…
AFFormer: Adaptive Feature Fusion Transformer for V2X Cooperative Perception under Channel Impairments
Xi Zhou, Tao Huang, Qing-Long Han +2
Accurate 3D object detection is essential for ensuring the safety of autonomous vehicles. Cooperative perception, which leverages vehicle-to-everything (V2X) communication to share…
Depth-Resolved Coral Reef Thermal Fields from Satellite SST and Sparse In-Situ Loggers Using Physics-Informed Neural Networks
Alzayat Saleh, Mostafa Rahimi Azghadi
Satellite sea surface temperature (SST) products underpin global coral bleaching monitoring, yet they measure only the ocean skin. Corals inhabit depths from the shallows to beyond…
Multi-label Instance-level Generalised Visual Grounding in Agriculture
Mohammadreza Haghighat, Alzayat Saleh, Mostafa Rahimi Azghadi
Understanding field imagery such as detecting plants and distinguishing individual crop and weed instances is a central challenge in precision agriculture. Despite progress in visi…
Decoding Neural Emotion Patterns through Large Language Model Embeddings
Gideon Vos, Maryam Ebrahimpour, Liza van Eijk +2
Understanding how emotional expression in language relates to brain function is a challenge in computational neuroscience and affective computing. Traditional neuroimaging is costl…
Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization
Gideon Vos, Liza van Eijk, Zoltan Sarnyai +1
Synaptic pruning in biological brains removes weak connections to improve efficiency. In contrast, dropout regularization in artificial neural networks randomly deactivates neurons…