AI-Centric Modeling and Analytics

Alex Khang, Vugar Abdullayev, Babasaheb Jadhav, Shashi Gupta, Gilbert Morris

• Editorial: CRC Press
• Año: 2023
• ISBN:
  9781003815389
• Edición: 1
• Categoría: Technology & Engineering
• Categoría: Industrial Engineering

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.

Índice

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