Feature-aware deep learning paper forthcoming at IEEE FMLDS 2025

Our paper “Feature-Aware Deep Learning for Maritime Intent Recognition” has been accepted for the IEEE International Conference on Future Machine Learning and Data Science (FMLDS 2025). The work achieves ~97% accuracy on seven maritime behaviors using only initial trajectory segments, with models incorporating bearing-rate, CPA/TCPA, and motion derivatives.