Tag: FiLM

Researchers at the Vellore Institute of Technology developed three hybrid deep learning models combining convolutional networks, transformers, and clinical metadata ...

A dual-branch deep learning framework that fuses local terrain characteristics with surrounding spatial context has achieved record accuracy in mapping ...

A physics-informed deep learning model combining impedance spectroscopy, distribution of relaxation times and multi-scale convolutional networks achieves sub-1-percent error in ...