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Digital Ecosystems: Interconnecting Advanced Networks with AI Applications [electronic resource] / edited by Andriy Luntovskyy, Mikhailo Klymash, Igor Melnyk, Mykola Beshley, Alexander Schill.

Contributor(s): Material type: TextSeries: Lecture Notes in Electrical Engineering ; 1198Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XXXIII, 886 p. 496 illus., 361 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031612213
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:
  • TK1-9971
Online resources:
In: Springer Nature eBookSummary: This book covers several cutting-edge topics and provides a direct follow-up to former publications such as “Intent-based Networking” and “Emerging Networking”, bringing together the latest network technologies and advanced AI applications. Typical subjects include 5G/6G, clouds, fog, leading-edge LLMs, large-scale distributed environments with specific QoS requirements for IoT, robots, machine and deep learning, chatbots, and further AI solutions. The highly promising combination of smart applications, network infrastructure, and AI represents a unique mix of real synergy. Special aspects of current importance such as energy efficiency, reliability, sustainability, security and privacy, telemedicine, e-learning, and image recognition are addressed too. The book is suitable for students, professors, and advanced lecturers for networking, system architecture, and applied AI. Moreover, it serves as a basis for research and inspiration for interested professionals looking for new challenges.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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This book covers several cutting-edge topics and provides a direct follow-up to former publications such as “Intent-based Networking” and “Emerging Networking”, bringing together the latest network technologies and advanced AI applications. Typical subjects include 5G/6G, clouds, fog, leading-edge LLMs, large-scale distributed environments with specific QoS requirements for IoT, robots, machine and deep learning, chatbots, and further AI solutions. The highly promising combination of smart applications, network infrastructure, and AI represents a unique mix of real synergy. Special aspects of current importance such as energy efficiency, reliability, sustainability, security and privacy, telemedicine, e-learning, and image recognition are addressed too. The book is suitable for students, professors, and advanced lecturers for networking, system architecture, and applied AI. Moreover, it serves as a basis for research and inspiration for interested professionals looking for new challenges.

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