5 papers
DART: A Vision-Language Foundation Model for Comprehensive Rope Condition Monitoring
Anju Rani, Daniel Ortiz-Arroyo, Petar Durdevic
The condition monitoring (CM) of synthetic fibre ropes (SFRs) used in offshore, maritime, and industrial settings demands more than a classifier: inspectors need continuous severit…
Imagery Dataset for Remaining Useful Life Estimation of Synthetic Fibre Ropes
Anju Rani, Daniel Ortiz-Arroyo, Petar Durdevic
Remaining useful life (RUL) estimation of synthetic fibre ropes (SFRs) is critical for safe operation in offshore-crane, wind turbine installation, and heavy-load handling applicat…
CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text
Anju Rani, Daniel Ortiz-Arroyo, Petar Durdevic
Understanding the temporal dynamics of biological growth is critical across diverse fields such as microbiology, agriculture, and biodegradation research. Although vision-language…
FungalZSL: Zero-Shot Fungal Classification with Image Captioning Using a Synthetic Data Approach
Anju Rani, Daniel O. Arroyo, Petar Durdevic
The effectiveness of zero-shot classification in large vision-language models (VLMs), such as Contrastive Language-Image Pre-training (CLIP), depends on access to extensive, well-a…
Synthetic Fungi Datasets: A Time-Aligned Approach
A. Rani, D. O. Arroyo, P. Durdevic
Fungi undergo dynamic morphological transformations throughout their lifecycle, forming intricate networks as they transition from spores to mature mycelium structures. To support…