Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques (Paperback)

Tien Anh Tran

ISBN 10: 1032335351 / ISBN 13: 9781032335353

Editore: Taylor & Francis Ltd, London, 2025

Riguardo questo articolo

Paperback. The development of intelligent transportation systems, especially autonomous underwater vehicles, has become significant in marine engineering, with an aim to enhance energy efficiency management and communication systems. This book covers different aspects of optimization of autonomous underwater vehicles and their propulsion systems via machine learning techniques. It further analyses hydrodynamic characteristics including the study of experimental investigation combined with hydrodynamic characteristics backed by MATLAB codes and simulation study results. Features: Covers utilization of machine learning techniques with a focus on marine science and ocean engineering. Details effect of the intelligent transportation system (ITS) into the sustainable environment and ecology system. Evaluates performance of particle swarm intelligence-based optimization techniques. Reviews propulsion performance of the remote-controlled vehicles based on machine learning techniques. Includes MATLAB examples and simulation study results.This book is aimed at graduate students and researchers in marine engineering and technology, computer science, and control system engineering. This book covers different aspects of optimization autonomous underwater vehicles and their propulsion systems via machine learning techniques. It further analyses hydrodynamic characteristics including study of experimental investigation combined with hydrodynamic characteristics backed my MATLAB codes and simulation study results. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Codice articolo 9781032335353

Dati bibliografici

• Titolo: Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques (Paperback)
• Editore: Taylor & Francis Ltd, London
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1032335351
• ISBN 13: 9781032335353
• Rilegatura: Paperback
• Condizione: new

Descrizione articolo

Riassunto

The development of intelligent transportation systems, especially autonomous underwater vehicles, has become significant in marine engineering, with an aim to enhance energy efficiency management and communication systems. This book covers different aspects of optimization of autonomous underwater vehicles and their propulsion systems via machine learning techniques. It further analyses hydrodynamic characteristics including the study of experimental investigation combined with hydrodynamic characteristics backed by MATLAB® codes and simulation study results.

Features:

• Covers utilization of machine learning techniques with a focus on marine science and ocean engineering.
• Details effect of the intelligent transportation system (ITS) into the sustainable environment and ecology system.
• Evaluates performance of particle swarm intelligence-based optimization techniques.
• Reviews propulsion performance of the remote-controlled vehicles based on machine learning techniques.
• Includes MATLAB® examples and simulation study results.

This book is aimed at graduate students and researchers in marine engineering and technology, computer science, and control system engineering.

Informazioni sull?autore

Tien Anh Tran (IEEE Member, IMarEST Member) a Research Fellow at Seoul National University, Seoul city, South Korea. He is an Assistant Professor (Lecturer) at Department of Marine Engineering, Vietnam Maritime University, Haiphong City, Vietnam. Additionally, he is also an Honorary Professor at School of Computing Science and Engineering, Galgotias University, India.

Kolla Bhanu Prakash is working as Professor and Research Group Head for A.I & Data Science Research group at KLEF.

Subrata Chowdhury is perusing M.Tech at the Sreenivasa Institute of Technology and Management Studies, Chittoor Andhra Pradesh, India.

Ivan Tam is an Associate Professor at Newcastle University in the UK with a wealth of experience in multi-disciplinary research and a strong track record of leading innovative projects. His research interest is in the clean fuel combustion process, exhaust emission control, energy management and renewable energy technology.