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20241205085723
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241118s2024 flu b 001 0 eng
▼a 9781032335346:
▼c £115
▼a (KERIS)REF000020414766
▼a 248023
▼c 248023
▼d 248023
▼a pcc
▼a 623.856
▼2 23
▼a 623.856
▼b E23u
▼a Underwater vehicle control and communication systems based on machine learning techniques /
▼c edited by Tien Anh Tran, Kolla Bhanu Prakash, Subrata Chowdhury and Ivan CK Tam.
▼a First edition.
▼a Boca Raton, FL :
▼b CRC Press,
▼c 2024.
▼a xii,222 pages;
▼c 24 cm
▼a Includes bibliographical references and index.
▼a A survey on enhancement and restoration of underwater image : challenges, techniques and datasets / Suman Kumar Swarnkar, Tien Anh Tran -- Advances of unmanned autonomous vehicle and its communication systems / Akoramurthy B, Dhivya K -- Control algorithms for multiple autonomous underwater vehicles to cooperatively encircle intelligent intrusion devices / Hongfei Li, Mingzhi Chen, Haoxuan Song -- Safety management based on machine learning for identifying unexpected faults in autonomous underwater vehicles / Korakod Tongkachok, Edwin Ramirez-Asis, William Dextre-Martinez, D. Saravanan -- Internet of things and machine learning for transportation system using adaptive enhanced K-nearest neighbor algorithm / Shivlal Mewada, Riya K S, Brahmadesam Viswanathan Krishna, G Arunkumar -- Optimization of routing protocols in ITS using elephant heard algorithm for underwater wireless sensor networks / M. Vedhapriya, J. Dhilipan -- Effect of the intelligent transportation system into the sustainable environment and ecology system / Kshatrapal Singh, Ashsh Kumar, Manoj Kumar Gupta, Ashish Seth -- An application oriented integrated unequal clustering algorithm for wireless sensor network / G. Vennira Selvi G, Bharathi Anbarasan A, Akora Murthy B, Prabvathy S.
▼a "The development of intelligent transportation systems has become significant in marine engineering especially Autonomous Underwater Vehicles with an aim to enhance energy efficiency management and communication systems. 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. 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 intelligent based optimization techniques. Reviews propulsion performance of the remoted control 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"--
▼c Provided by publisher.
▼a Underwater navigation
▼x Data processing.
▼a Autonomous underwater vehicles
▼x Automatic control.
▼a Electronics in navigation.
▼a Intelligent transportation systems.
▼a Machine learning.
▼a Shipping
▼x Safety measures.
▼a Tran, Tien Anh,
▼e editor.
▼a Prakash, Kolla Bhanu,
▼e editor.
▼a Chowdhury, Subrata,
▼e editor.
▼a Tam, Ivan CK,
▼e editor.
▼i Online version:
▼t Underwater vehicle control and communication systems based on machine learning techniques
▼b First edition.
▼d Boca Raton, FL : CRC Press, 2024
▼z 9781003320074
▼w (DLC) 2023032165
▼a 단행본
| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9781032335346: |
| 분류기호 : | 623.856 |
| 서명/저자사항 : | Underwater vehicle control and communication systems based on machine learning techniques / edited by Tien Anh Tran, Kolla Bhanu Prakash, Subrata Chowdhury and Ivan CK Tam. |
| 판사항 : | First edition. |
| 발행사항 : | Boca Raton, FL : CRC Press, 2024. |
| 형태사항 : | xii,222 pages; 24 cm |
| 서지주기 : | Includes bibliographical references and index. |
| 내용주기 : | A survey on enhancement and restoration of underwater image : challenges, techniques and datasets / Suman Kumar Swarnkar, Tien Anh Tran -- Advances of unmanned autonomous vehicle and its communication systems / Akoramurthy B, Dhivya K -- Control algorithms for multiple autonomous underwater vehicles to cooperatively encircle intelligent intrusion devices / Hongfei Li, Mingzhi Chen, Haoxuan Song -- Safety management based on machine learning for identifying unexpected faults in autonomous underwater vehicles / Korakod Tongkachok, Edwin Ramirez-Asis, William Dextre-Martinez, D. Saravanan -- Internet of things and machine learning for transportation system using adaptive enhanced K-nearest neighbor algorithm / Shivlal Mewada, Riya K S, Brahmadesam Viswanathan Krishna, G Arunkumar -- Optimization of routing protocols in ITS using elephant heard algorithm for underwater wireless sensor networks / M. Vedhapriya, J. Dhilipan -- Effect of the intelligent transportation system into the sustainable environment and ecology system / Kshatrapal Singh, Ashsh Kumar, Manoj Kumar Gupta, Ashish Seth -- An application oriented integrated unequal clustering algorithm for wireless sensor network / G. Vennira Selvi G, Bharathi Anbarasan A, Akora Murthy B, Prabvathy S. |
| 요약 : | "The development of intelligent transportation systems has become significant in marine engineering especially Autonomous Underwater Vehicles with an aim to enhance energy efficiency management and communication systems. 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. 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 intelligent based optimization techniques. Reviews propulsion performance of the remoted control 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"-- Provided by publisher. |
| 일반주제명 : | Underwater navigation -- Data processing. -- |
| 일반주제명 : | Autonomous underwater vehicles -- Automatic control. -- |
| 일반주제명 : | Electronics in navigation. -- |
| 일반주제명 : | Intelligent transportation systems. -- |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Shipping -- Safety measures. -- |
| 개인저자 : | Tran, Tien Anh, editor. |
| 개인저자 : | Prakash, Kolla Bhanu, editor. |
| 개인저자 : | Chowdhury, Subrata, editor. |
| 개인저자 : | Tam, Ivan CK, editor. |
| 기타형태 저록 : | Online version: Underwater vehicle control and communication systems based on machine learning techniques First edition. Boca Raton, FL : CRC Press, 2024 9781003320074 |
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