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Generative AI for web engineering models

Record Type:	Electronic resources : Monograph/item
Title/Author:	Generative AI for web engineering models/ Imdad Ali Shah, Noor Zaman Jhanjhi, editors.
remainder title:	Generative artificial intelligence for web engineering models
other author:	Jhanjhi, Noor Zaman.
Published:	Hershey, Pennsylvania :IGI Global, : 2025.,
Description:	1 online resource (622 p.)
[NT 15003449]:	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.
Subject:	Artificial intelligence. -
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3703-5
ISBN:	9798369337042

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: 9798369337042Subjects--Topical Terms:

516317
Artificial intelligence.
Subjects--Index Terms:

Code Generation.Index Terms--Genre/Form:

542853
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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246 3 $a Generative artificial intelligence for web engineering models
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2025.
300 $a 1 online resource (622 p.)
490 1 $a Advances in web technologies and engineering (AWTE) book series
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a "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."-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Artificial intelligence. $3 516317
650 0 $a Web site development. $3 549940
650 0 $a Application software. $3 527258
650 0 $a Web services. $3 572482
650 0 $a Information technology $x Technological innovations. $3 859080
653 $a Code Generation.
653 $a Meb ML.
653 $a Nature Language Processing (NLP)
653 $a Security.
653 $a UML Web Application Extension.
653 $a UML-Based Web Engineering.
653 $a Web Applications.
653 $a Web Architect.
653 $a Web-Browser.
653 $a Website Scalability.
653 $a Websites Scaling.
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Jhanjhi, Noor Zaman. $3 3601594
700 1 $a Shah, Imdad Ali. $3 3793533
710 2 $a IGI Global. $3 1361470
776 0 8 $i Print version: $z 9798369337035
830 0 $a Advances in web technologies and engineering (AWTE) book series. $3 3793513
856 4 0 $u https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3703-5