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