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AI-Centric Modeling and Analytics

Concepts, Technologies, and Applications
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781003815389
Veröffentl:
2023
Seiten:
396
Autor:
Alex Khang
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
Beschreibung:

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

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