Knygos.lt klubas Knygos.lt nariams
242,12 €
-30%
Įprastai
345,89 €
Artificial Intelligence, Cybersecurity and QoS for  Future Metaverse, Internet and Telecom Networks
Artificial Intelligence, Cybersecurity and QoS for Future Metaverse, Internet and Telecom Networks
Knygos.lt klubas Knygos.lt nariams
242,12 €
-30%
Įprastai
345,89 €
  • Planuojame turėti už 233 d.
Apply AI to optimize future telecommunications networks and strengthen cybersecurity defenses As telecommunications infrastructure grows increasingly complex with 5G, 6G, and Metaverse applications, engineers require systematic approaches to network QoS and security. This book delivers comprehensive coverage of AI-driven innovations in spectrum management, network automation, metaverse cybersecurity and QoS optimization for immersive digital experiences across emerging platforms and ecosystems.…
  • Leidėjas:
  • Metai: 2027
  • ISBN-10: 1394361025
  • ISBN-13: 9781394361021
  • Kalba: Anglų

Artificial Intelligence, Cybersecurity and QoS for Future Metaverse, Internet and Telecom Networks (el. knyga) (skaityta knyga) | knygos.lt

Atsiliepimai

Aprašymas

Apply AI to optimize future telecommunications networks and strengthen cybersecurity defenses

As telecommunications infrastructure grows increasingly complex with 5G, 6G, and Metaverse applications, engineers require systematic approaches to network QoS and security. This book delivers comprehensive coverage of AI-driven innovations in spectrum management, network automation, metaverse cybersecurity and QoS optimization for immersive digital experiences across emerging platforms and ecosystems.

This reference examines machine learning algorithms for supervised and unsupervised learning applications in predictive analytics, anomaly detection, and network optimization. Coverage includes deterministic networking, Time-Sensitive Networks, and energy-efficiency considerations for 6G networks. The book integrates ITU standards and frameworks while addressing cybersecurity challenges such as securing digital identities, protecting virtual economies, and mitigating AI-driven ecosystem risks.

Readers will also find:

  • Detailed coverage of Quality of Service paradigms and performance metrics across emerging digital ecosystems including extended reality (XR) and cloud computing
  • Analysis of key technologies driving Metaverse evolution with insights directly integrated from current ITU standards and established frameworks
  • Machine learning implementation strategies for network optimization including practical applications in predictive maintenance and automated anomaly detection systems
  • Cybersecurity frameworks addressing digital identity protection, virtual economy security, and risk mitigation strategies for AI-driven telecommunications ecosystems
  • Technical foundations spanning broadband internet, IoT integration, 5G and 6G architectures, and their convergence with artificial intelligence capabilities

This book is suitable for researchers and graduate students in telecommunications and information engineering, governments and telecom/ICT regulators, professionals in telecom operators and ICT industry, providing authoritative coverage of AI applications in networks and systems, frameworks for intelligent network solutions and addressing emerging security and QoS challenges for immersive metaverse services in future Internet and telecom networks.

Knygos.lt klubas
Knygos.lt nariams
242,12 €
-30%
Įprastai
345,89 €
Kaina registruotiems pirkėjams
Prisijunkite ir už šią prekę
gausite 2,42 Knygų Eurų!?
Planuojame turėti už 233 d.
Įsigykite dovanų kuponą
Daugiau
  • Autorius: Toni Janevski
  • Leidėjas:
  • Metai: 2027
  • ISBN-10: 1394361025
  • ISBN-13: 9781394361021
  • Kalba: Anglų

Apply AI to optimize future telecommunications networks and strengthen cybersecurity defenses

As telecommunications infrastructure grows increasingly complex with 5G, 6G, and Metaverse applications, engineers require systematic approaches to network QoS and security. This book delivers comprehensive coverage of AI-driven innovations in spectrum management, network automation, metaverse cybersecurity and QoS optimization for immersive digital experiences across emerging platforms and ecosystems.

This reference examines machine learning algorithms for supervised and unsupervised learning applications in predictive analytics, anomaly detection, and network optimization. Coverage includes deterministic networking, Time-Sensitive Networks, and energy-efficiency considerations for 6G networks. The book integrates ITU standards and frameworks while addressing cybersecurity challenges such as securing digital identities, protecting virtual economies, and mitigating AI-driven ecosystem risks.

Readers will also find:

  • Detailed coverage of Quality of Service paradigms and performance metrics across emerging digital ecosystems including extended reality (XR) and cloud computing
  • Analysis of key technologies driving Metaverse evolution with insights directly integrated from current ITU standards and established frameworks
  • Machine learning implementation strategies for network optimization including practical applications in predictive maintenance and automated anomaly detection systems
  • Cybersecurity frameworks addressing digital identity protection, virtual economy security, and risk mitigation strategies for AI-driven telecommunications ecosystems
  • Technical foundations spanning broadband internet, IoT integration, 5G and 6G architectures, and their convergence with artificial intelligence capabilities

This book is suitable for researchers and graduate students in telecommunications and information engineering, governments and telecom/ICT regulators, professionals in telecom operators and ICT industry, providing authoritative coverage of AI applications in networks and systems, frameworks for intelligent network solutions and addressing emerging security and QoS challenges for immersive metaverse services in future Internet and telecom networks.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
(rodomas nebus)