Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques
eBook - ePub

Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques

  1. 158 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques

About this book

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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques by Tien Anh Tran, Kolla Bhanu Prakash, Subrata Chowdhury, Ivan CK Tam, Tien Anh Tran,Kolla Bhanu Prakash,Subrata Chowdhury,Ivan CK Tam in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. About the Editors
  7. Preface
  8. Contributors
  9. 1 A Survey on Enhancement and Restoration of Underwater Image: Challenges, Techniques and Datasets
  10. 2 Advances of Unmanned Autonomous Vehicle and Its Communication Systems
  11. 3 Control Algorithms for Multiple Autonomous Underwater Vehicles to Cooperatively Encircle Intelligent Intrusion Devices
  12. 4 Safety Management Based on Machine Learning for Identifying Unexpected Faults in Autonomous Underwater Vehicles
  13. 5 Internet of Things and Machine Learning for Transportation System Using Adaptive Enhanced K-Nearest Neighbor Algorithm
  14. 6 Optimization of Routing Protocols in ITS Using Elephant Herd Algorithm for Underwater Wireless Sensor Networks
  15. 7 Effect of the Intelligent Transportation System into the Sustainable Environment and Ecology System
  16. 8 An Application Oriented Integrated Unequal Clustering Algorithm for Wireless Sensor Network
  17. Index