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AI-Based Advanced Optimization Techniques for Edge Computing
AI-Based Advanced Optimization Techniques for Edge Computing
Autore Kumar Mohit
Edizione [1st ed.]
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2025
Descrizione fisica 1 online resource (481 pages)
Disciplina 006.3
Altri autori (Persone) SrivastavaGautam
SinghAshutosh Kumar
DubeyKalka
ISBN 9781394287048
1394287046
9781394287062
1394287062
9781394287055
1394287054
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9911020105703321
Kumar Mohit  
Newark : , : John Wiley & Sons, Incorporated, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Intelligence Techniques for 5G Enabled IoT Networks / / edited by Mohit Kumar, Sukhpal Singh Gill, Vijay Kumar, Prabal Verma
Computational Intelligence Techniques for 5G Enabled IoT Networks / / edited by Mohit Kumar, Sukhpal Singh Gill, Vijay Kumar, Prabal Verma
Autore Kumar Mohit
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (515 pages)
Disciplina 006.3
Altri autori (Persone) GillSukhpal Singh
KumarVijay
VermaPrabal
Collana Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development
Soggetto topico Computational intelligence
Internet of things
Cloud computing
Computer science
Computer engineering
Computer networks
Computational Intelligence
Internet of Things
Cloud Computing
Computer Science
Computer Engineering and Networks
ISBN 9783031827334
9783031827327
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I. Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks -- Chapter 1. Computational Intelligence based Carbon Neutral Wireless Networks for Edge Cloud Continuum -- Chapter 2. AI/ML: Developing Algorithms for Handling Imbalanced Datasets in Classification Tasks -- Chapter 3. A Novel Algorithm for Digital Twin Accuracy -- Chapter 4. Google Cloud Spanner based Data Management Application for Smart Gaming Industry -- Part II. Optimization and Resilience Strategies for 5G-Enabled IoT Networks -- Chapter 5. Next Generation Cloud Security Paradigm: Orchestrating Cutting-Edge Machine Learning for DDoS Attack Detection Through Robust Optimization Algorithm -- Chapter 6. Role of Cognitive Radio in 5G Enabled IoT Networks -- Chapter 7. Influence of Soft Computing Techniques in Autonomous Vehicles -- Chapter 8. Disaster Resilience Communication through Optimized-UAV Enabled 5G Networks with D2D Communication -- Part III. Intelligent Resource Allocation and Service Optimization in 5G IoT Networks -- Chapter 9. Computational Intelligence based Optimal Service Placement in Fog-enabled IoT Networks -- Chapter 10. A study on Microservice Placement in the IoT-Fog Networks -- Chapter 11. Realtime IoT Offloading decision Strategy -- Chapter 12. IoT-Enabled 5G Smart Healthcare: Changing Patient Care and Connectivity -- Part IV. Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0 -- Chapter 13. Revolutionizing Agriculture: 5G-Enabled IoT Networks for Smart Farming -- Chapter 14. Real-Time Monitoring and Disease Detection in Greenhouses Using IoT and Deep Learning -- Chapter 15. Deep Learning-Driven IoT Framework for Detecting Pancreatic Neuroendocrine Tumors -- Chapter 16. Amalgamation of Computational Intelligence and 6G-enabled AIoT networks for Industry 4.0.
Record Nr. UNINA-9911018644803321
Kumar Mohit  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Convergence of AI, Federated Learning, and Blockchain for Sustainable Development / / edited by Mohit Kumar, Anand Nayyar, Ashutosh Kumar Singh, Yanhui Guo
Convergence of AI, Federated Learning, and Blockchain for Sustainable Development / / edited by Mohit Kumar, Anand Nayyar, Ashutosh Kumar Singh, Yanhui Guo
Autore Kumar Mohit
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (519 pages)
Disciplina 338.927
Altri autori (Persone) NayyarAnand
SinghAshutosh Kumar
GuoYanhui
Collana Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development
Soggetto topico Sustainability
Blockchains (Databases)
Artificial intelligence
Blockchain
Artificial Intelligence
ISBN 3-031-80949-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Convergence of AI, Federated learning and Blockchain -- AI for expert system -- Natural Language processing for industry 4.0 -- Design and development of autonomous systems -- Decision-Making Techniques for Analytical Systems -- Smart Computational Techniques for IoT applications -- Federated Learning for advanced healthcare -- Federated learning for privacy preserving -- Secure computation for IoT applications -- Analysis and Implementation of Security using Federated Systems -- Development of Federated Learning Recommendation Systems -- Development of Intelligent Productive Federated Learning Systems -- AI and Federated Learning for Sustainable Development Systems Industry 4.0 -- Role of Blockchain Techniques for Sustainable Development -- Blockchain with smart contacts for real-time applications -- Trustworthy AI in Cybersecurity -- Case study based upon smart cities, home and agriculture using AI and Blockchain -- Sustainable Development using Blockchain Technology -- Traceability and Transparency issues in Transactions using Blockchain Techniques -- Emerging Trends and future directions of AI assisted Blockchain and Federated Learning for Sustainable Development Systems.
Record Nr. UNINA-9911020416103321
Kumar Mohit  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui