V, subramaniyaswamy (30 Ergebnisse)

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 10th International Conference on Applications and Techniques in Information Security, ATIS 2019, held inTamil Nadul, India, in November 2019.The 22 full papers and 2 short papers presented in the volume were carefully reviewed and selected from 50 submissions. The papers are organized in the following topical sections: information security; network security; intrusion detection system; authentication and key management system; security centric applications.…

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Taschenbuch. Zustand: Neu. Applications and Techniques in Information Security | 10th International Conference, ATIS 2019, Thanjavur, India, November 22-24, 2019, Proceedings | V. S. Shankar Sriram (u. a.) | Taschenbuch | xi | Englisch | 2019 | Springer | EAN 9789811508707 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New. Dr. V. Subramaniyaswamy is a professor at the School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.Dr. G Revathy is an assistant professor, Department of CSE, Srinivasa Ramanujan Centre, SASTRA .

Taschenbuch. Zustand: Neu. Neuware - In this digital era, a smart city can become an intelligent society by using advances in emerging technologies. Specifically, the rapid adoption of deep learning (DL) in fusion with blockchain technology has led to a new digital smart city ecosystem. A broad spectrum of DL and blockchain applications promises solutions for problems in areas ranging from risk management and financial services to cryptocurrency to public and social services. Furthermore, the convergence of artificial intelligence and blockchain technology is revolutionizing the smart city network architecture to build sustainable ecosystems. However, these advances in technology bring both opportunities and challenges in creating sustainable smart cities.To help planners and developers to meet these challenges and exploit these opportunities, Deep Learning and Blockchain Technology for Smart and Sustainable Cities takes a deep dive into the technologies and applications that enable smart and sustainable cities. It provides a comprehensive literature review of the security issues and problems that impact the deployment of blockchain systems in smart cities. It presents a detailed discussion of key factors in the convergence of blockchain and DL technologies that help form sustainable smart societies. This book also discusses blockchain security enhancement solutions and summarizes main key points necessary for developing various blockchain and DL¿based intelligent transportation systems.This book concludes with a discussion of open issues and future research direction.These include new security suggestions and guidelines for a sustainable smart city ecosystem. Also discussed is 6G¿enabled DL and blockchain in real¿time applications.…

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Zustand: New. Elakkiya R., PhD, is an assistant professor in the Department of Computer Science at the Birla Institute of Technology & Science in Dubai, UAE. She received a Ph.D. in 2018 and did her doctoral research in sign language recognition. Her research focuses on .

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. Provides an in-depth analysis of Electric motors and drives, specifically focused on practical approaches Includes simulations of electric drives using best proven software tools like MATLAB and PSIM Details step-by-step approache.

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Zustand: New. Packages core concepts of green machine learning and smart grids in a clear, understandable wayIncludes real-world, practical applications and case studies for replication and innovative solution developmentIntroduces readers with .

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Taschenbuch. Zustand: Neu. Neuware - Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of green machine learning and the essential technologies for utilizing data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests.Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation.…

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Hardcover. Zustand: Brand New. 392 pages. 9.18x6.12x9.21 inches. In Stock.

Zustand: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.