Druck auf Anfrage Neuware - Printed after ordering - This book explores advanced networking topics, building on previous Springer books like Intent-based Networking (2022), Emerging Networking in the Digital Transformation Age (2023), and Digital Ecosystems (2024). It merges network technologies with sustainable development, energy efficiency, AI, and smart apps. Topics include LLMs, ML, large-scale distributed networks QoS, IoT with cloud and fog ecosystems, smart grids, and robotics. It emphasizes the synergy of smart apps, AI, and computational intelligence. The book shows how advanced networks support sustainability, energy efficiency, and inclusiveness focusing on data science, cybersecurity, user intentions, and cost reduction addressing key aspects like reliability, privacy, inclusiveness, and accessibility. Suitable for students, professors, and lecturers in networking, distributed systems, cybersecurity, data science, and AI, it also serves as a research base and source of inspiration for professionals seeking new challenges.

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Bibliographic Details

Title: Networks and Sustainability : Smart Grid, Data Science, and Smart Applications
Publisher: Springer
Publication Date: 2025
Language: English
ISBN 10: 3032022711
ISBN 13: 9783032022714
Binding: Buch
Condition: Neu
Dimensions: 241 millimeters width by 160 millimeters height by 51 millimeters depth
Weight: 1423 grams

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This book explores advanced networking topics, building on previous Springer books like “Intent-based Networking” (2022), “Emerging Networking in the Digital Transformation Age” (2023), and “Digital Ecosystems” (2024). It merges network technologies with sustainable development, energy efficiency, AI, and smart apps. Topics include LLMs, ML, large-scale distributed networks’ QoS, IoT with cloud and fog ecosystems, smart grids, and robotics. It emphasizes the synergy of smart apps, AI, and computational intelligence. The book shows how advanced networks support sustainability, energy efficiency, and inclusiveness focusing on data science, cybersecurity, user intentions, and cost reduction addressing key aspects like reliability, privacy, inclusiveness, and accessibility. Suitable for students, professors, and lecturers in networking, distributed systems, cybersecurity, data science, and AI, it also serves as a research base and source of inspiration for professionals seeking new challenges.

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