Artificial Intelligence and Machine Learning Algorithms for Engineering Applications
eBook - ePub

Artificial Intelligence and Machine Learning Algorithms for Engineering Applications

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

Artificial Intelligence and Machine Learning Algorithms for Engineering Applications

About this book

This book comprehensively covers core algorithms and techniques used in artificial intelligence (AI) and machine learning (ML) for engineering applications. It further explores the use of AI in civil and structural engineering, quality control, and product design.

Features:

  • Presents autonomous robots using onboard computing and artificial intelligence (AI) algorithms to process the data from their sensors and make real-time decisions.

  • Discusses nature-based optimization-based computing techniques to enhance the computational speed for solving engineering problems.

  • Provides conceptual and practical knowledge about the design of modern computation techniques with advanced tools and methodologies.

  • Highlights the importance of using smart techniques including AI and ML in product design and development.

  • Covers time series analysis and forecasting in engineering, robotic process automation, and autonomous robots in manufacturing.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, manufacturing engineering, and environmental engineering.

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Yes, you can access Artificial Intelligence and Machine Learning Algorithms for Engineering Applications by Krishan Arora,Himanshu Sharma,Aeidapu Mahesh in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. About the Editors
  8. List of Contributors
  9. 1 Design and Simulation of an Advanced MPPT Controller for Efficiency Enhancement of Solar Power Plant
  10. 2 Transformers in Clickbait Detection: Benchmarking State-of-the-Art Techniques
  11. 3 Grid-Based Coverage Path Planning for UAV with No-Fly Zone Avoidance: A Greedy Approach
  12. 4 Artificial Intelligence-Based Exploring the Influence of Numerology on Human Life
  13. 5 An Enhanced Position Updating Strategy for Salp Swarm Algorithm to Solve Global Optimization Problems
  14. 6 Comparative Analysis of Guanine and Thymine Conductance for DNA-Based Molecular Electronics: Insights into Nanoelectronic Applications
  15. 7 AI in Robotics and Automation
  16. 8 Detection of Cyberattacks in Cyber-Physical Microgrid Using Machine Learning Techniques
  17. 9 Double-Gate Junctionless Field Effect Transistor Circuit Based on Low Power Applications
  18. 10 Enhanced Grey Wolf Optimizer to Improve the Power Quality in Multilevel Inverter
  19. 11 Sustainable Application of Blockchain in Food Supply Chains Criteria in Selecting a Sustainable Blockchain Technology Service Provider
  20. 12 Application Scenario of AI-Enabled Architectures in Next-Generation Wireless Networks
  21. 13 Secure Session Key and Communal Verification Protocol Implementation in IOV Network
  22. 14 AI-Driven Innovations in Medical Care
  23. 15 Role of Artificial Intelligence in Robotics Applications
  24. 16 AI-Powered Robotics and Automation: Revolutionizing Industries
  25. 17 Introduction to AI and ML in Engineering
  26. 18 Impact of Automation and Control Systems on Industry
  27. Index