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Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques - Couverture souple
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques
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Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques
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Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques
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Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques
Edité par
Taylor & Francis Ltd Jul 2025, 2025
ISBN 10 : 1032335351
ISBN 13 : 9781032335353
Neuf
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Taschenbuch. Etat : Neu. Neuware - 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. N° de réf. du vendeur 9781032335353
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Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques (Paperback)
Edité par
Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032335351
ISBN 13 : 9781032335353
Neuf
Paperback
Vendeur : AussieBookSeller, Truganina, VIC, Australie
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Paperback. Etat : new. 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781032335353
Quantité disponible : 1 disponible(s)
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Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques (Paperback)
Edité par
Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032335351
ISBN 13 : 9781032335353
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. 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. N° de réf. du vendeur 9781032335353
Quantité disponible : 1 disponible(s)
Image d'archives
Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques (Paperback)
Edité par
Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032335351
ISBN 13 : 9781032335353
Neuf
Paperback
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. 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 multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032335353
Quantité disponible : 1 disponible(s)