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      1. Naturvetenskap och teknik
      2. Matematik och naturvetenskap
      3. Matematik
      4. Tillämpad matematik

      Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices

      Av"Raj,Pethur"

      Inbunden, Engelska, 2026

      Del 141 i serien Advances in Computers

      1 995 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices, Volume 141 in the Advances in Computers series, explores the convergence of artificial intelligence, machine learning, and modern software engineering practices. Chapters in this new release include Demystifying the Cloud-native Artificial Intelligence (CNAI) Paradigm, Articulating Machine and Deep Learning Models for Next-Generation Software Development, Delineating Artificial Intelligence (AI) and Its Potentials for Automated Software Engineering, Leveraging Machine and Deep Learning (ML/DL) Algorithms towards AI Models for Automating Software Development, and more.

      Other sections cover Artificial Intelligence (AI) Technologies and Tools for Accelerated Software Development, Demystifying the Agentic AI Paradigm for Accelerated Software Engineering, Detailing AI Techniques and Tools for Software Engineering Acceleration and Automation, Generative AI Tools for Accelerated Software Engineering, Empowering Software Engineering Automation through Explainable AI, and much more.

      • Contains novel subject matter that is relevant to computer science
      • Includes the expertise of contributing authors
      • Presents an easy to comprehend writing style

      Produktinformation

      • Utgivningsdatum:2026-02-19
      • Mått:152 x 229 x undefined mm
      • Vikt:450 g
      • Format:Inbunden
      • Språk:Engelska
      • Serie:Advances in Computers
      • Antal sidor:522
      • Förlag:Elsevier Science
      • ISBN:9780443224010

      Utforska kategorier

      • Tillämpad matematik inom Naturvetenskap och teknik
      • Programvaruutveckling inom Data och IT
      • Nätverk och kommunikation inom Data och IT

      Mer om författaren

      Dr. Pushan Kumar Dutta is an Associate Professor at Amity University Kolkata who has carved a distinctive niche in academia with over 12 years of academic experience. He earned his Ph.D. from Jadavpur University in 2015, followed by postdoctoral work as an Erasmus Mundus Scholar at the University of Oradea in Romania in 2016, which laid the foundation for a career drive for a position in institution of academic excellence. At the forefront of his contributions is an impressive editorial portfolio. Dr. Dutta has meticulously curated and edited over 60 books in the past couple of years for globally recognized publishers such as Springer, Elsevier, IET, Taylor & Francis, Cambridge Scholar Publishers, Degruyter, and IGI Global. His role as the manager of the "Sustainable Industrial Engineering Systems" book series for CRC Press further underscores his influence in shaping scholarly discourse on sustainability and engineering innovation. His editorial expertise spans rapidly evolving domains including artificial intelligence in healthcare, Industry 5.0 technologies, quantum computing applications,aviation and digital transformation strategies. A dedicated mentor and educator, Dr. Dutta has consistently empowered his students to excel and innovate, guiding them to garner international recognition through competitions like the Johnson Control International Whitepaper contest and Ideathon 5.0. His contributions to nurturing young talent have been acknowledged through accolades such as the "Mentor of Change" award by NITI Aayog, along with the prestigious Young Faculty Awards in 2018 and 2024. Complementing his teaching and editorial endeavors is an extensive research portfolio that includes over 200 Scopus-indexed publications, two pioneering Indian patents, and an Indian copyright. His professional recognitions extend to prestigious memberships and fellowships, including Senior Membership at the Indian Institute of Engineering, a Threws Fellowship, and a Fellowship at the EnTech Foundation. Dr. Dutta’s academic journey also includes significant teaching stints as an Assistant Professor at RGMCET in Nandyal, Andhra Pradesh, and as a lecturer for the Marine Electro Technology course at DG Shipping Taratala.Dr. B. Sundaravadivazhagan is a Professor in the Department of Information Technology at the University of Technology and Applied Sciences, Al-Musanna, Sultanate of Oman. He earned his M.E. and Ph.D., specializing in wireless networks, MANET, IoT, cryptography, network security, cloud computing, and blockchain technologies.With over 19 years of teaching experience, Dr. Sundaravadivazhagan has held leadership roles including Head of Department at institutions in both India and Oman, and currently serves as an Emeritus Professor at KPR Institute of Engineering and Technology in Coimbatore, India. He is an active member of ISTE and CSI, has contributed to editorial boards, peer-reviewed numerous international journals, and chaired advisory committees for several global conferences. He also evaluates Ph.D. theses at prominent universities in India.His scholarly output includes 22 publications and a book titled Performance Analysis of Broadcast Schemes in MANET, published by Lambert Academic Publishing (Germany). His recent research articles cover topics like IoT in healthcare, leader election in MANET, sentiment analysis using Naïve Bayes, and biometric-based cryptosystems.Dr. Sundaravadivazhagan is also a sought-after resource person, having delivered keynote lectures and webinars on IoT trends and security across various international platforms.N. Gayathri, PhD is an Assistant Professor in the Department of Computer Science and Engineering at GITAM University, Bengaluru. Her research focuses on big data analytics, the Internet of Things (IoT), and computer networks. Dr. Gayathri holds multiple patents, including granted patents in India and Australia, and serves as a Guest Editor for Recent Patents on Computer Science. She has contributed to the scholarly literature through journal articles, conference papers, book chapters, and edited volumes. In addition, she is an active peer reviewer for several international journals, including Mobile Networks and Applications, Expert Systems with Applications, Sustainable Computing: Informatics and Systems, and the IEEE Internet of Things Journal. Her work spans data-driven technologies and their applications in intelligent and connected systems. Pethuru Raj PhD works as chief architect and vice president of site reliability engineering (SRE) division of Reliance Jio Infocomm. Ltd. Bangalore. Previously he worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), Bangalore. He worked as a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch, India. He has gained more than 18 years of IT industry experience. He finished the CSIR-sponsored PhD degree in Anna University, Chennai and continued the UGC-sponsored postdoctoral research in the department of Computer Science and Automation, Indian Institute of Science, Bangalore. Thereafter, he was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He has authored and edited 18 books thus far and he focuses on some of the emerging technologies such as Containerized Clouds; Big, Fast, and Streaming Data Analytics; Microservices architecture (MSA); Machine and Deep Learning Algorithms; Blockchain Technology; The Internet of Things; and Edge Computing. He has published more than 30 research papers in peer-reviewed journals such as IEEE, ACM, Springer-Verlag, Inderscience, etc.

      Innehållsförteckning

      • 1. Demystifying the Cloud-native Artificial Intelligence (CNAI) Paradigm2. Articulating Machine and Deep Learning Models for Next-Generation Software Development3. Delineating Artificial Intelligence (AI) and Its Potentials for Automated Software Engineering4. Leveraging Machine and Deep Learning (ML/DL) Algorithms towards AI Models for Automating Software Development5. Artificial Intelligence (AI) Technologies and Tools for Accelerated Software Development6. Demystifying the Agentic AI Paradigm for Accelerated Software Engineering7. Detailing AI Techniques and Tools for Software Engineering Acceleration and Automation8. Generative AI Tools for Accelerated Software Engineering9. Empowering Software Engineering Automation through Explainable AI10. Deepseek and ChatGPT for Software Engineering: An Analysis and Insight11. Agile Software Development through DevSecOps, Site Reliability Engineering, and Value Stream Management (VSM) Products and Practices12. Evolution of Software Engineering: From Traditional to Modern Approaches13. Cloud Native Engineering: A Comprehensive Review of Principles, Practices, and Challenges14. AI-Driven Testing Practices for Cloud-Native Systems15. Kubernetes for Highly Scalable and Self-Healing Software Systems16. Pioneering Agile Innovation: A Cloud-Native MLOps Odyssey for Data-Driven Applications17. Cloud Native Engineering for AI-Driven ERP Systems: Enhancing Security, Compliance, and Data Privacy18. Cloud-Native Secrets Management: Eliminating Hardcoded Secrets in CI/CD and Cloud Workloads with HashiCorp Vault19. Ethical AI and Responsible Automation in Software Engineering
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