Innovative Engineering with AI Applications
eBook - PDF

Innovative Engineering with AI Applications

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Innovative Engineering with AI Applications

About this book

Innovative Engineering with AI Applications

Innovative Engineering with AI Applications demonstrates how we can innovate in different engineering domains as well as how to make most business problems simpler by applying AI to them.

Engineering advancements combined with artificial intelligence (AI), have resulted in a hyper-connected society in which smart devices are not only used to exchange data but also have increased capabilities. These devices are becoming more context-aware and smarter by the day. This timely book shows how organizations, who want to innovate and adapt, can enter new markets using expertise in various emerging technologies ( e.g. data, AI, system architecture, blockchain), and can build technology-based business models, a culture of innovation, and high-performing networks. The book specifies an approach that anyone can use to better architect, design, and more effectively build things that are technically novel, useful, and valuable, and to do so efficiently, on-time, and repeatable.

Audience

The book is essential to AI product developers, business leaders in all industries and organizational domains. Researchers, academicians, and students in the AI field will also benefit from reading this book.

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Yes, you can access Innovative Engineering with AI Applications by Anamika Ahirwar,Piyush Kumar Shukla,Manish Shrivastava,Priti Maheshwary,Bhupesh Gour in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface
  6. Chapter 1 Introduction of AI in Innovative Engineering
  7. Chapter 2 An Analytical Review of Deep Learning Algorithms for Stress Prediction in Teaching Professionals
  8. Chapter 3 Deep Learning: Tools and Models
  9. Chapter 4 Web Service Composition Using an AI Planning Technique
  10. Chapter 5 Artificial Intelligence in Agricultural Engineering
  11. Chapter 6 The Potential of Artificial Intelligence in the Healthcare System
  12. Chapter 7 Improvement of Computer Vision-Based Elephant Intrusion Detection System (EIDS) with Deep Learning Models
  13. Chapter 8 A Study of WSN Privacy Through AI Technique
  14. Chapter 9 Introduction to AI Technique and Analysis of Time Series Data Using Facebook Prophet Model
  15. Chapter 10 A Comparative Intelligent Environmental Analysis of Air-Pollution in COVID: Application of IoT and AI Using ML in a Study Conducted at the North Indian Zone
  16. Chapter 11 Eye-Based Cursor Control and Eye Coding Using Hog Algorithm and Neural Network
  17. Chapter 12 Role of Artificial Intelligence in the Agricultural System
  18. Chapter 13 Improving Wireless Sensor Networks Effectiveness with Artificial Intelligence
  19. Index
  20. EULA