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Kumar, Mohit.

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Computational intelligence techniques for 5G enabled IoT networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence techniques for 5G enabled IoT networks/ edited by Mohit Kumar ... [et al.].
other author:	Kumar, Mohit.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xi, 265 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-82733-4
ISBN:	9783031827334

Computational intelligence techniques for 5G enabled IoT networks
Computational intelligence techniques for 5G enabled IoT networks[electronic resource] /edited by Mohit Kumar ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xi, 265 p. :ill. (some col.), digital ;24 cm. - Advances in science, technology & innovation, IEREK interdisciplinary series for sustainable development,2522-8722. - Advances in science, technology & innovation, IEREK interdisciplinary series for sustainable development..

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.

This book explores emerging interdisciplinary themes and applications reflecting advancements in Computational Intelligence (CI) for IoT and 5G networks. It is divided into four sections: Section 1 introduces Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks. Section 2 covers Optimization and Resilience Strategies for 5G-Enabled IoT Networks. Section 3 delves Intelligent Resource Allocation and Service Optimization in 5G IoT Networks. Section 4 presents Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0. This comprehensive work is essential for researchers and professionals interested in leveraging CI, IoT, and 5G technologies across diverse applications.

ISBN: 9783031827334

Standard No.: 10.1007/978-3-031-82733-4doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational intelligence techniques for 5G enabled IoT networks
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505 0 $a 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.
520 $a This book explores emerging interdisciplinary themes and applications reflecting advancements in Computational Intelligence (CI) for IoT and 5G networks. It is divided into four sections: Section 1 introduces Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks. Section 2 covers Optimization and Resilience Strategies for 5G-Enabled IoT Networks. Section 3 delves Intelligent Resource Allocation and Service Optimization in 5G IoT Networks. Section 4 presents Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0. This comprehensive work is essential for researchers and professionals interested in leveraging CI, IoT, and 5G technologies across diverse applications.
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