Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques 1st Edition

Capture the future of subsea autonomy with Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques, 1st Edition by Anh Tran, Tien. This authoritative guide brings cutting-edge machine learning approaches to the practical challenges of controlling and communicating with underwater vehicles—AUVs and ROVs—across coastal, offshore, and deep‑sea environments.

Explore robust, real-world solutions: detailed explanations of adaptive control, sensor fusion, acoustic and optical communication strategies, and data-driven navigation methods that improve vehicle reliability in noisy, dynamic underwater conditions. Written for engineers, researchers, and marine technology professionals, the book balances theory with applied case studies and algorithmic insight so you can implement scalable systems for oceanographic research, offshore energy, defense, and marine robotics industries.

Why this volume matters: machine learning is transforming how underwater platforms perceive, decide, and communicate. This edition decodes complex concepts into practical workflows—covering model training, performance validation, and deployment considerations unique to subsea environments—helping teams reduce mission risk and boost operational efficiency across global waterways.

Whether you’re modernizing a fleet, pursuing graduate research, or building next‑generation autonomous systems, you’ll find actionable guidance and forward‑looking perspectives that keep you ahead in a rapidly evolving field. Make informed decisions with clear diagrams, algorithm comparisons, and deployment recommendations tailored to real-world maritime contexts.

Ready to advance your underwater systems? Add Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques, 1st Edition by Anh Tran, Tien to your professional library and start transforming subsea operations today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.