Machine Learning-Driven Solutions for Enhanced Underwater Communication
A.) Summary figure of ML-driven technologies to improve underwater acoustic communication for a variety of applications. These technologies enhance image and video transmission while adapting for underwater conditions that may interfere with signal transmission. B.) Schematic for integration of JSCC, ASVTuw, and Doppler effect compensation technologies...
Published: 4/10/2025
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Inventor(s): Dario Pompili, Muhammad Khizar Anjum
Keywords(s):
Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Physical Sciences & Engineering, Technology Classifications > Software & Algorithms
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