Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques (ePub)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt
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.
Bibliographische Angaben
- 2023, 174 Seiten, Englisch
- Herausgegeben: Tien Anh Tran, Kolla Bhanu Prakash, Subrata Chowdhury, Ivan Ck Tam
- Verlag: Taylor & Francis
- ISBN-10: 1003817025
- ISBN-13: 9781003817024
- Erscheinungsdatum: 04.12.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 14 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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