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Record Nr. |
UNINA9911031668603321 |
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Autore |
Luntovskyy Andriy |
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Titolo |
Networks and Sustainability : Smart Grid, Data Science, and Smart Applications / / edited by Andriy Luntovskyy, Mikhailo Klymash, Igor Melnyk, Mykola Beshley, Dietbert Gütter |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (1066 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1473 |
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Altri autori (Persone) |
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KlymashMikhailo |
MelnykIgor |
BeshleyMykola |
GütterDietbert |
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Disciplina |
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Soggetti |
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Electrical engineering |
Computational intelligence |
Electrical and Electronic Engineering |
Computational Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Smart Cyber-Physical System for Radiation Analytics and Public Environmental Safety in Ukraine -- Cooperative Intelligence in Distributed Network Observations for Sustainable Smart Cities -- Consciousness and Artificial Intelligence -- Geospatial Multi-Criteria AI-Driven Analysis of Rural Development in Ukraine During the War -- Quantum Computing: Applications and Challenges -- Layered Architecture for RSDP v3.0: Modular Distributed Consensus and Coordination -- AI-Powered Tools to Create Accessible Websites. |
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Sommario/riassunto |
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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 |
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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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