AI-Centric Modeling and Analytics
  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

About this book

This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, machine learning-aided models, Internet of Things-driven applications, and cybersecurity techniques in the era of Industrial Revolution 4.0.

AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications focuses on how to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions. This book presents advanced AI-centric modeling and analysis techniques that facilitate data analytics and learning in various applications. It offers fundamental concepts of advanced techniques, technologies, and tools along with the concept of real-time analysis systems. It also includes AI-centric approaches for the overall innovation, development, and implementation of business development and management systems along with a discussion of AI-centric robotic process automation systems that are useful in many government and private industries.

This reference book targets a mixed audience of engineers and business analysts, researchers, professionals, and students from various fields.

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Yes, you can access AI-Centric Modeling and Analytics by Alex Khang, Vugar Abdullayev, Babasaheb Jadhav, Shashi Gupta, Gilbert Morris, Alex Khang,Vugar Abdullayev,Babasaheb Jadhav,Shashi Gupta,Gilbert Morris,Shashi Kant Gupta in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Acknowledgments
  8. Editors
  9. Contributors
  10. Chapter 1 Artificial Intelligence-Based Model and Applications in Business Decision-Making
  11. Chapter 2 Exploration of Machine Learning Models for Business Ecosystem
  12. Chapter 3 The Role of Big Data and Data Analysis Tools in Business and Production
  13. Chapter 4 Revolutionized Teaching by Incorporating Artificial Intelligence Chatbot for Higher Education Ecosystem
  14. Chapter 5 Application of Artificial Intelligence in AgroWeb
  15. Chapter 6 Natural Language Processing: A Study of State of the Art
  16. Chapter 7 Application of Artificial Intelligence in Healthcare System Management with Dynamic Modeling of COVID-19 Diagnosis
  17. Chapter 8 Breast Cancer Prediction Using Voting Classifier Model
  18. Chapter 9 Privacy Protection for Internet of Medical Things Data Using Effective Outsourced Support Vector Machine Approach
  19. Chapter 10 Robotics in Real-Time Applications Using Bayesian Hyper-Tuned Artificial Neural Network
  20. Chapter 11 Quantitative Study on Variation of Glaucoma Eye Images Using Various EfficientNetV2 Models
  21. Chapter 12 Disaster Management System for Forest Fire Prediction: Fog and Cloud Data-Driven Analytical Compatible Model
  22. Chapter 13 Hybrid Particle Swarm Optimization with Random Forest Algorithm Used in Job Scheduling to Improve Business and Production
  23. Chapter 14 Robotic Process Automation Applications in Data Management
  24. Chapter 15 Artificial Intelligence-Enabled Bibliometric Analysis in Tourism and Hospitality Using Biblioshiny and VOSviewer Software
  25. Chapter 16 Data-Centric Predictive Analytics for Solving Environmental Problems
  26. Chapter 17 Phishing Attack and Defense: An Exploratory Data Analytics of Uniform Resource Locators for Cybersecurity
  27. Chapter 18 Analysis of Deep Learning-Based Approaches for Spam Bots and Cyberbullying Detection in Online Social Networks
  28. Index