Proactive Maritime Threat Prediction: Vessel Intent Classification with LSTMs and Transformers Using a Sliding Window Approach
Jan 1, 2025
Feature-Aware Deep Learning for Maritime Intent Recognition
Jan 1, 2025
Early Classification of Intentions for Maritime Domains Using Deep Learning Model
Jan 1, 2025
NavySim: A Multi-Vessel Simulation and Analysis Engine for Naval Domains
We introduce a Unity-based naval simulator for maritime training that supports complex multi-vessel scenarios, real-time threat assessment, and intent recognition. The system models vessel capabilities, renders vulnerability and CPA-based action heatmaps, fuses them into a dynamic threat map, and uses HMMs to infer other agents’ intentions.
Aug 28, 2024
Threatmap: A Framework for Enhancing Security Awareness and Decision-Making for Naval Agents
Jan 1, 2024
RAM: Resource Allocation for Multi-agent Maritime Environment
Jan 1, 2024
Keep Sailing: An Investigation of Effective Navigation Controls and Subconscious Learning in Simulated Maritime Environment
Jan 1, 2024
Maritime Dynamic Resource Allocation and Risk Minimization Using Visual Analytics and Elitist Multi-Objective Optimization
Jan 1, 2023
Retinal blood vessel segmentation: A semi-supervised approach
Jan 1, 2019
A semi-supervised approach to segment retinal blood vessels in color fundus photographs
Jan 1, 2019