Generative AI for web engineering models /
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2025.
|
| Series: | Advances in web technologies and engineering (AWTE) book series.
|
| Subjects: |
Table of Contents:
- Preface
- Chapter 1. Machine Learning Models for Detecting Software Vulnerabilities
- Chapter 2. The Internet of Things: An Intelligent and Secure Path Approach for Cyber Critical Infrastructure
- Chapter 3. Generative AI for Visualization
- Chapter 4. The Role of Artificial Intelligence in Risk Management: Practices of the Banking Sector
- Chapter 5. Unveiling the Potential of Generative Approaches in AI-Infused Web Development for Design, Testing, and Maintenance
- Chapter 6. Hardware Vulnerabilities: Taxonomy and Business Security Models
- Chapter 7. Does Artificial Intelligence With Blockchain Reduce the Costs of the Financial Sector?
- Chapter 8. Harnessing Generative AI for Enhanced Web Application Security
- Chapter 9. Ethical Concerns in Artificial Intelligence (AI): The Role of Governance Mechanism in Finance
- Chapter 10. The Challenges for E-Commerce Using AI Applications
- Chapter 11. The Role of Generative AI in Enhancing Web Engineering Efficiency and Business Innovation
- Chapter 12. Security Concerns: Machine Learning Approaches in the Modern Era and Web Engineering
- Chapter 13. Introduction to Machine Learning Models for Web Engineering Concepts
- Chapter 14. Generative AI-Driven Security Frameworks for Web Engineering: Innovations and Challenges
- Chapter 15. Introduction to Generative AI in Web Engineering: Concepts and Applications
- Chapter 16. Exploring Security Challenges in Generative AI for Web Engineering
- Chapter 17. Generative AI for Web Engineering Models in Physical Therapy
- Chapter 18. AI-Powered Threat Detection in Business Environments: Strategies and Best Practices
- Chapter 19. Generative AI and Web Applications: Addressing Security Issues and Challenges
- Chapter 20. Generative AI With Natural Language Processing for the Web
- Chapter 21. Generative AI in Web Application Development: Enhancing User Experience and Performance
- Compilation of References
- About the Contributors
- Index.