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Generative AI for web engineering models
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IGI Global.
Generative AI for web engineering models
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Generative AI for web engineering modelsImdad Ali Shah, Noor Zaman Jhanjhi, editors.
其他題名:
Generative artificial intelligence for web engineering models
其他作者:
Jhanjhi, Noor Zaman.
出版者:
Hershey, Pennsylvania :IGI Global,2025.
面頁冊數:
1 online resource (622 p.)
標題:
Artificial intelligence.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3703-5
ISBN:
9798369337042$q(ebook)
Generative AI for web engineering models
Generative AI for web engineering models
[electronic resource] /Generative artificial intelligence for web engineering modelsImdad Ali Shah, Noor Zaman Jhanjhi, editors. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (622 p.) - Advances in web technologies and engineering (AWTE) book series. - Advances in web technologies and engineering (AWTE) book series..
Includes bibliographical references and index.
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. GenerativeAI 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.
"Web engineering faces a pressing challenge in keeping pace with the rapidly evolving digital landscape. Developing, designing, testing, and maintaining web-based systems and applications require innovative approaches to meet the growing demands of users and businesses. Generative Artificial Intelligence (AI) emerges as a transformative solution, offering advanced capabilities to enhance web engineering models and methodologies. This book presents a timely explorationof how Generative AI can revolutionize the web engineering discipline, providing insights into future challenges and societal impacts. Generative AI for Web Engineering Models offers a comprehensive examination of integrating AI-driven generative approaches into web engineering practices. It delves into methodologies, models, and the transformative impact of Generative AI on web-based systems and applications. By addressing topics such as web browser technologies, website scalability, security, and the integration of Machine Learning, this book provides a roadmap for researchers, scientists, postgraduate students, and AI enthusiasts interested in the intersection of AI and web engineering."--
Mode of access: World Wide Web.
ISBN: 9798369337042$q(ebook)Subjects--Topical Terms:
194058
Artificial intelligence.
Subjects--Index Terms:
Code Generation.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: TK5105.888 / .G46 2025eb
Dewey Class. No.: 005.7/2
Generative AI for web engineering models
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Imdad Ali Shah, Noor Zaman Jhanjhi, editors.
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"Web engineering faces a pressing challenge in keeping pace with the rapidly evolving digital landscape. Developing, designing, testing, and maintaining web-based systems and applications require innovative approaches to meet the growing demands of users and businesses. Generative Artificial Intelligence (AI) emerges as a transformative solution, offering advanced capabilities to enhance web engineering models and methodologies. This book presents a timely explorationof how Generative AI can revolutionize the web engineering discipline, providing insights into future challenges and societal impacts. Generative AI for Web Engineering Models offers a comprehensive examination of integrating AI-driven generative approaches into web engineering practices. It delves into methodologies, models, and the transformative impact of Generative AI on web-based systems and applications. By addressing topics such as web browser technologies, website scalability, security, and the integration of Machine Learning, this book provides a roadmap for researchers, scientists, postgraduate students, and AI enthusiasts interested in the intersection of AI and web engineering."--
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