
AI-Centric Modeling and Analytics
Concepts, Technologies, and Applications
- English
- ePUB (mobile friendly)
- Available on iOS & Android
AI-Centric Modeling and Analytics
Concepts, Technologies, and Applications
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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Information
Table of contents
- 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