Reshaping intelligent business and industry : convergence of AI and IoT at the cutting edge

The convergence of Artif icial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart...

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Bibliographic Details
Other Authors Dalal, Surjeet (Editor), Dahiya, Neeraj (Editor), Jaglan, Vivek, Koundal, Deepika, Le, Dac-Nhuong
Format Electronic eBook
LanguageEnglish
Published Hoboken, NJ : Beverly, MA : John Wiley & Sons, Inc. ; Scrivener Publishing LLC, 2024.
Subjects
Artificial intelligence > Industrial applications.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781119905202
9781119905196
9781119905189
9781119904878
Physical Description1 online zdroj (641 stran)

Cover

Table of Contents:
  • Cover
  • Series Page
  • Title Page
  • Copyright Page
  • Dedication Page
  • Contents
  • List of Figures
  • List of Tables
  • Foreword
  • Preface
  • Acknowledgments
  • Acronyms
  • Part I: Artificial Intelligence Applications
  • Chapter 1 Artificial Intelligence Overview: Architecture, Applications and Challenges
  • 1.1 Introduction
  • 1.1.1 History of Artificial Intelligence
  • 1.1.2 Components of Artificial Intelligence
  • 1.1.3 Levels of Artificial Intelligence
  • 1.2 Artificial Intelligence Agents
  • 1.3 Artificial Intelligence Algorithms
  • 1.4 Applications of Artificial Intelligence
  • 1.4.1 Agriculture
  • 1.4.2 Healthcare
  • 1.4.3 Education
  • 1.4.4 Banking
  • 1.4.5 Opportunities and Challenges
  • 1.5 Conclusion
  • References
  • Chapter 2 Video Analytics Using Deep Learning Models
  • 2.1 Introduction
  • 2.1.1 Artificial Intelligence
  • 2.1.2 Deep Learning Overview and Evolution
  • 2.1.3 Edge Computing
  • 2.1.4 Cloud Computing
  • 2.2 Video Analytics
  • 2.2.1 Video Surveillance
  • 2.2.2 Real-Time Video Mining and Video Monitoring
  • 2.2.3 Video Analytics Functional Model
  • 2.3 Object Detection and Object Tracking
  • 2.3.1 Object Detection
  • 2.3.2 Object Tracking
  • 2.3.3 Role of Deep Learning in Object Tracking
  • 2.3.4 Functional Model
  • 2.4 Industrial Application
  • 2.4.1 Healthcare
  • 2.4.2 Smart City
  • 2.4.3 Connected Home
  • 2.4.4 Security
  • 2.4.5 Sports
  • 2.5 Conclusion
  • References
  • Chapter 3 Optimizing Search Engine for Enhancing Computing and Communication in Real-Time Systems
  • 3.1 Introduction
  • 3.1.1 Existing System
  • 3.1.2 Problem Definition
  • 3.1.3 Feasibility Study
  • 3.1.4 Experimental Work
  • 3.2 Literature Review
  • 3.3 Requirement Specification
  • 3.3.1 Search Engine Optimization
  • 3.3.2 Web Analytics
  • 3.3.3 Web Architecture Diagram
  • 3.4 Testing and Validation
  • 3.4.1 SEO Testing
  • 3.4.2 Google Analytics Testing
  • 3.4.3 Structured Data Testing
  • 3.4.4 SEO Implementation
  • 3.4.5 Google Analytics Implementation
  • 3.4.6 Google Data Studio Implementation
  • 3.4.7 Tableau Implementation
  • 3.5 Result
  • 3.6 Conclusion and Future Work
  • References
  • Chapter 4 The Need for XAI: Challenges and Its Applications
  • 4.1 Introduction
  • 4.2 Literature Review
  • 4.3 The Need for Exploring XAI
  • 4.3.1 Explain to Justify
  • 4.3.2 Explain to Control
  • 4.3.3 Explain to Improve
  • 4.3.4 Explain to Discover
  • 4.3.5 Challenges in XAI
  • 4.4 Scope of Explanation
  • 4.4.1 Local Explanation
  • 4.4.2 Global Explanations
  • 4.5 Differences in Research Methodology
  • 4.5.1 Perturbation Based
  • 4.5.2 Backpropagation- or Gradient-Based
  • 4.5.3 XAI Applications
  • 4.6 Conclusion
  • References
  • Chapter 5 Why Law Firms Need to Embrace Artificial Intelligence to Transform the Indian Legal Industry
  • 5.1 Introduction
  • 5.1.1 Research Methodology
  • 5.1.2 Research Objectives
  • 5.2 What Is Artificial Intelligence?
  • 5.2.1 Modernization and Delivery of Legal Services

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