
Efficient Deep Learning Revolutionizes Underwater Ship Noise Detection
A new deep learning model, FCResNet5, is reshaping underwater ship noise detection. By focusing on critical low frequencies and using frequency-based channels, it boosts accuracy and cuts computational costs—perfect for real-time marine surveillance and research.





