MARC 닫기

• LDR

  00000cam u22002058a 4500

• 001

  000001187422

• 005

  20241205085723

• 007

  ta

• 008

  241118s2024 flu b 001 0 eng

• 020

  ▼a  9781032335346:
  ▼c  ￡115

• 035

  ▼a  (KERIS)REF000020414766

• 040

  ▼a  248023
  ▼c  248023
  ▼d  248023

• 042

  ▼a  pcc

• 082

  ▼a  623.856
  ▼2  23

• 090

  ▼a  623.856
  ▼b  E23u

• 245

  ▼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.

• 250

  ▼a  First edition.

• 260

  ▼a  Boca Raton, FL :
  ▼b  CRC Press,
  ▼c  2024.

• 300

  ▼a  xii,222 pages;
  ▼c  24 cm

• 504

  ▼a  Includes bibliographical references and index.

• 505

  ▼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.

• 520

  ▼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.

• 650

  ▼a  Underwater navigation
  ▼x  Data processing.

• 650

  ▼a  Autonomous underwater vehicles
  ▼x  Automatic control.

• 650

  ▼a  Electronics in navigation.

• 650

  ▼a  Intelligent transportation systems.

• 650

  ▼a  Machine learning.

• 650

  ▼a  Shipping
  ▼x  Safety measures.

• 700

  ▼a  Tran, Tien Anh,
  ▼e  editor.

• 700

  ▼a  Prakash, Kolla Bhanu,
  ▼e  editor.

• 700

  ▼a  Chowdhury, Subrata,
  ▼e  editor.

• 700

  ▼a  Tam, Ivan CK,
  ▼e  editor.

• 776

  ▼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

• 991

  ▼a  단행본