Generative Ai For Web Engineering Models
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Generative Ai For Web Engineering Models
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Author : Shah, Imdad Ali
language : en
Publisher: IGI Global
Release Date : 2024-10-22
Generative Ai For Web Engineering Models written by Shah, Imdad Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.
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.
Handbook Of Ai Driven Threat Detection And Prevention
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Author : Pankaj Bhambri
language : en
Publisher: CRC Press
Release Date : 2025-06-12
Handbook Of Ai Driven Threat Detection And Prevention written by Pankaj Bhambri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Technology & Engineering categories.
In today’s digital age, the risks to data and infrastructure have increased in both range and complexity. As a result, companies need to adopt cutting-edge artificial intelligence (AI) solutions to effectively detect and counter potential threats. This handbook fills the existing knowledge gap by bringing together a team of experts to discuss the latest advancements in security systems powered by AI. The handbook offers valuable insights on proactive strategies, threat mitigation techniques, and comprehensive tactics for safeguarding sensitive data. Handbook of AI-Driven Threat Detection and Prevention: A Holistic Approach to Security explores AI-driven threat detection and prevention, and covers a wide array of topics such as machine learning algorithms, deep learning, natural language processing, and so on. The holistic view offers a deep understanding of the subject matter as it brings together insights and contributions from experts from around the world and various disciplines including computer science, cybersecurity, data science, and ethics. This comprehensive resource provides a well-rounded perspective on the topic and includes real-world applications of AI in threat detection and prevention emphasized through case studies and practical examples that showcase how AI technologies are currently being utilized to enhance security measures. Ethical considerations in AI-driven security are highlighted, addressing important questions related to privacy, bias, and the responsible use of AI in a security context. The investigation of emerging trends and future possibilities in AI-driven security offers insights into the potential impact of technologies like quantum computing and blockchain on threat detection and prevention. This handbook serves as a valuable resource for security professionals, researchers, policymakers, and individuals interested in understanding the intersection of AI and security. It equips readers with the knowledge and expertise to navigate the complex world of AI-driven threat detection and prevention. This is accomplished by synthesizing current research, insights, and real-world experiences.
Advances In Computational Intelligence For Climate Change Security And Sustainability
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Author : Shah, Imdad Ali
language : en
Publisher: IGI Global
Release Date : 2025-07-17
Advances In Computational Intelligence For Climate Change Security And Sustainability written by Shah, Imdad Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-17 with Technology & Engineering categories.
Artificial intelligence (AI) contributes to the fight against climate change. Existing AI systems include tools that predict weather, track icebergs, and identify pollution. Sustainability transitions transform major socio-technical systems of provision and use in areas such as energy, water, mobility, and food towards more sustainable ways of production and consumption. This multi-disciplinary field has inputs from economics, science and technology studies, engineering, computer science, business intelligence, and more. Along with sustainability, systems and security have become integral parts of the infrastructure and economies of various countries. Advances in Computational Intelligence for Climate Change Security and Sustainability serves as a source of innovation, exploring complexities of computational intelligence in energy, water, mobility, pollution, predicting weather, environment, and agriculture. It examines sustainable ways of production and consumption while providing a roadmap for overcoming the limitations posed by small sample sizes. Covering topics such as environmental control, solar mirror durability, performance management, this book is an excellent resource for computer scientists, meteorologists, environmentalists, engineers, economists, researchers, academicians, and more.
Navigating Cyber Threats And Cybersecurity In The Software Industry
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Author : Shah, Imdad Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Navigating Cyber Threats And Cybersecurity In The Software Industry written by Shah, Imdad Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Business & Economics categories.
Emerging technologies present rising concerns for the software industry as cybersecurity threats continue to evolve. It is a priority for various industries and businesses to safeguard data for privacy and security reasons. Generative artificial intelligence (GAI) and machine learning (ML) approaches are revolutionizing the software industry by informing cybersecurity protocols, coding practices, and cybersecurity frameworks. With these new technologies, it is becoming even more vital to identify software vulnerabilities and enhance post-attack recoveries. Navigating Cyber Threats and Cybersecurity in the Software Industry discusses the use of emerging technologies, such as GAI and ML, for creating software that is more resilient towards security threats. This book is important for transforming cybersecurity to allow industries and business to safeguard the privacy and security of their data while considering the ethical and legal implications. Covering topics such as healthcare security, risk management, and DNA computing, this book is an excellent resource for software professionals, industry professionals, researchers, scholars, academicians, and more.
Metaverse And Sustainability Business Resilience Towards Sustainable Development Goals
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Author : Walter Leal Filho
language : en
Publisher: Springer Nature
Release Date : 2025-07-03
Metaverse And Sustainability Business Resilience Towards Sustainable Development Goals written by Walter Leal Filho and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Science categories.
In an era defined by rapid technological advancement and growing concerns over environmental sustainability, the intersection of the Metaverse and sustainable development presents both remarkable opportunities and formidable challenges. This book, "Metaverse and Sustainability: Business Resilience towards the Sustainable Development Goals", aims to explore this dynamic relationship and provide readers with insights into how businesses can leverage the Metaverse to not only thrive but also contribute positively towards the Sustainable Development Goals (SDGs). As the concept of the Metaverse evolves, it offers a digital realm where immersive experiences can reshape our interactions, economies, and even our perceptions of sustainability. It opens the door for innovative solutions that can transform traditional business models, making them more efficient, inclusive, and environmentally friendly. By harnessing the potential of virtual environments, organisations can engage stakeholders, reduce their carbon footprint, and promote sustainable practices in unprecedented ways. This book is structured to guide readers through the fundamental concepts of the Metaverse, its implications for various industries, and strategies that businesses can adopt to build resilience in face of sustainability challenges. Each chapter combines theoretical foundations with practical applications, case studies, and insights from industry leaders who are already paving the way towards a more sustainable future. As the world embarks on this journey through the synergy of the Metaverse and sustainability, this book show emerging technologies can serve as catalysts for positive change.
Generative Ai In Software Engineering
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Author : Aguilar-Calderón, José Alfonso
language : en
Publisher: IGI Global
Release Date : 2025-06-13
Generative Ai In Software Engineering written by Aguilar-Calderón, José Alfonso and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.
Generative AI transforms the landscape of software engineering, enabling automation, creativity, and efficiency throughout development. By leveraging advanced machine learning models, like large language models and code generation tools, developers can automate code generation, streamline testing, and design software architectures. This shift accelerates development timelines and redefines the roles of engineers and the skills required in modern software teams. As generative AI evolves, its integration into software engineering raises important questions around reliability, security, and human-AI collaboration. Generative AI in Software Engineering explores the evolving role of generative AI in the software engineering landscape. It examines how AI accelerates software development, reduces costs, and enhances creativity, offering real-world benefits for businesses. This book covers topics such as quantum computing, visual intelligence, and environment science, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.
Ai Magazine
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Author :
language : en
Publisher:
Release Date : 2003
Ai Magazine written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Artificial intelligence categories.
Ai Ia 99
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Author : Associazione italiana per l'intelligenza artificiale. Congress
language : en
Publisher:
Release Date : 1999
Ai Ia 99 written by Associazione italiana per l'intelligenza artificiale. Congress and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Technology & Engineering categories.
Data Knowledge Engineering Volume 48 Issue 1
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Author :
language : en
Publisher:
Release Date : 2004
Data Knowledge Engineering Volume 48 Issue 1 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Generative Ai For Software Developers
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Author : Saurabh Shrivastava
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-10-10
Generative Ai For Software Developers written by Saurabh Shrivastava and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-10 with Computers categories.
Master Generative AI in software development with hands-on guidance, from coding and debugging to testing and deployment, using GitHub Copilot, Amazon Q Developer, and OpenAI APIs to build scalable, AI-powered applications Key Features Hands-on guidance for mastering AI-powered coding, debugging, and deployment with real-world examples Comprehensive coverage of GenAI concepts, prompt engineering, fine-tuning, and SDLC integration Practical strategies for architecting and scaling production-ready AI-driven applications Book DescriptionGenerative AI for Software Developers is your practical guide to mastering AI-powered development and staying ahead in a fast-changing industry. Through a structured, hands-on approach, this book helps you understand, implement, and optimize Generative AI in modern software engineering. From AI-assisted coding, debugging, and documentation to testing, deployment, and system design, it equips you with the skills to integrate AI seamlessly into your workflows. You’ll work with tools such as GitHub Copilot, Amazon Q Developer, and OpenAI APIs while learning strategies for prompt engineering, fine-tuning, and building scalable AI-powered applications. Featuring real-world use cases, best practices, and expert insights, this book bridges the gap between experimenting with AI and production deployment. Whether you’re an aspiring AI developer, experienced engineer, or solutions architect, this guide gives you the clarity, confidence, and tactical knowledge to thrive in the GenAI-driven future of software development. Armed with these insights, you’ll be ready to build, integrate, and scale intelligent solutions that enhance every stage of the software development lifecycle.What you will learn Build a secure GenAI application with expert guidance Understand the fundamentals of GenAI and its applications in software engineering Automate coding tasks with tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs Apply AI for debugging, testing, documentation, and deployment workflows Get to grips with prompt engineering and fine-tuning techniques to optimize AI outputs Implement best practices for architecting and scaling AI-powered applications Build end-to-end GenAI projects, moving from experimentation to production Who this book is for This book is for software developers, engineers, architects, and tech professionals who want to understand the core concepts of Generative AI and its real-world applications, master AI-driven development workflows to improve efficiency and code quality, and leverage tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs to automate coding tasks.