Presented two papers at IEEE CASE 2025

Two papers accepted and presented by coauthors at IEEE CASE 2025 in Los Angeles:

1. Early Classification of Intentions for Maritime Domains Using Deep Learning Models — Feature-aware LSTM, Bi-LSTM, and Transformer classifiers for early vessel behavior prediction.

2. Proactive Maritime Threat Prediction: Vessel Intent Classification with LSTMs and Transformers Using a Sliding Window Approach — Rolling-threat prediction with sliding windows for real-time situational awareness.