Generative AI for web engineering models:
"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 In...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2025.
|
| Schriftenreihe: | Advances in web technologies and engineering (AWTE) book series.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "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 exploration of 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."-- |
| Beschreibung: | 27 PDFs (622 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369337042 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Generative AI for web engineering models |c Imdad Ali Shah, Noor Zaman Jhanjhi, editors. |
| 246 | 3 | |a Generative artificial intelligence for web engineering models | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2025. | |
| 300 | |a 27 PDFs (622 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 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. 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. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 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 exploration of 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. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 11/21/2024). | ||
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Information technology |x Technological innovations. | |
| 650 | 0 | |a Web services. | |
| 650 | 0 | |a Web site development. | |
| 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. | |
| 700 | 1 | |a Jhanjhi, Noor Zaman |e editor. | |
| 700 | 1 | |a Shah, Imdad Ali |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369337035 |
| 830 | 0 | |a Advances in web technologies and engineering (AWTE) book series. | |
| 966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3703-5 |3 Volltext |
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| 912 | |a ZDB-98-IGB | ||
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| DE-BY-FWS_katkey | ZDB-98-IGB-00336862 |
|---|---|
| _version_ | 1826942603328749568 |
| adam_text | |
| any_adam_object | |
| author2 | Jhanjhi, Noor Zaman Shah, Imdad Ali |
| author2_role | edt edt |
| author2_variant | n z j nz nzj i a s ia ias |
| author_facet | Jhanjhi, Noor Zaman Shah, Imdad Ali |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TK5105 |
| callnumber-raw | TK5105.888 .G46 2025e |
| callnumber-search | TK5105.888 .G46 2025e |
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| collection | ZDB-98-IGB |
| 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. |
| ctrlnum | (CaBNVSL)slc00007036 (OCoLC)1473359048 |
| dewey-full | 005.7/2 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7/2 |
| dewey-search | 005.7/2 |
| dewey-sort | 15.7 12 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00336862 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:38Z |
| institution | BVB |
| isbn | 9798369337042 |
| language | English |
| oclc_num | 1473359048 |
| open_access_boolean | |
| owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 27 PDFs (622 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2025 |
| publishDateSearch | 2025 |
| publishDateSort | 2025 |
| publisher | IGI Global |
| record_format | marc |
| series | Advances in web technologies and engineering (AWTE) book series. |
| series2 | Advances in web technologies and engineering (AWTE) book series |
| spelling | Generative AI for web engineering models Imdad Ali Shah, Noor Zaman Jhanjhi, editors. Generative artificial intelligence for web engineering models Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2025. 27 PDFs (622 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier 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. 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. Restricted to subscribers or individual electronic text purchasers. "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 exploration of 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."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 11/21/2024). Application software. Artificial intelligence. Information technology Technological innovations. Web services. Web site development. Code Generation. Meb ML. Nature Language Processing (NLP) Security. UML Web Application Extension. UML-Based Web Engineering. Web Applications. Web Architect. Web-Browser. Website Scalability. Websites Scaling. Electronic books. Jhanjhi, Noor Zaman editor. Shah, Imdad Ali editor. IGI Global, publisher. Print version: 9798369337035 Advances in web technologies and engineering (AWTE) book series. |
| spellingShingle | Generative AI for web engineering models Advances in web technologies and engineering (AWTE) book series. 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. Application software. Artificial intelligence. Information technology Technological innovations. Web services. Web site development. |
| title | Generative AI for web engineering models |
| title_alt | Generative artificial intelligence for web engineering models |
| title_auth | Generative AI for web engineering models |
| title_exact_search | Generative AI for web engineering models |
| title_full | Generative AI for web engineering models Imdad Ali Shah, Noor Zaman Jhanjhi, editors. |
| title_fullStr | Generative AI for web engineering models Imdad Ali Shah, Noor Zaman Jhanjhi, editors. |
| title_full_unstemmed | Generative AI for web engineering models Imdad Ali Shah, Noor Zaman Jhanjhi, editors. |
| title_short | Generative AI for web engineering models |
| title_sort | generative ai for web engineering models |
| topic | Application software. Artificial intelligence. Information technology Technological innovations. Web services. Web site development. |
| topic_facet | Application software. Artificial intelligence. Information technology Technological innovations. Web services. Web site development. Electronic books. |
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