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010   $a3-032-02272-X
024 7 $a10.1007/978-3-032-02272-1
035   $a(MiAaPQ)EBC32323706
035   $a(Au-PeEL)EBL32323706
035   $a(CKB)41528626300041
035   $a(DE-He213)978-3-032-02272-1
035   $a(EXLCZ)9941528626300041
100   $a20251001d2025      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aNetworks and Sustainability $eSmart Grid, Data Science, and Smart Applications /$fedited by Andriy Luntovskyy, Mikhailo Klymash, Igor Melnyk, Mykola Beshley, Dietbert Gütter
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (1066 pages)
225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1473
311 08$a3-032-02271-1 
327   $aSmart 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.
330   $aThis book explores advanced networking topics, building on previous Springer books like ?Intent-based Networking? (2022), ?Emerging Networking in the Digital Transformation Age? (2023), and ?Digital Ecosystems? (2024). It merges network technologies with sustainable development, energy efficiency, AI, and smart apps. Topics include LLMs, ML, large-scale distributed networks? QoS, IoT with cloud and fog ecosystems, smart grids, and robotics. It emphasizes the synergy of smart apps, AI, and computational intelligence. The book shows how advanced networks support sustainability, energy efficiency, and inclusiveness focusing on data science, cybersecurity, user intentions, and cost reduction addressing key aspects like reliability, privacy, inclusiveness, and accessibility. Suitable for students, professors, and lecturers in networking, distributed systems, cybersecurity, data science, and AI, it also serves as a research base and source of inspiration for professionals seeking new challenges.
410  0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1473
606   $aElectrical engineering
606   $aComputational intelligence
606   $aElectrical and Electronic Engineering
606   $aComputational Intelligence
615  0$aElectrical engineering.
615  0$aComputational intelligence.
615 14$aElectrical and Electronic Engineering.
615 24$aComputational Intelligence.
676   $a621.3
700   $aLuntovskyy$b Andriy$0915001
701   $aKlymash$b Mikhailo$01077159
701   $aMelnyk$b Igor$01762060
701   $aBeshley$b Mykola$01762061
701   $aGütter$b Dietbert$01850109
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911031668603321
996   $aNetworks and Sustainability$94443073
997   $aUNINA