Computational Intelligence in Recent Communication Networks

Chapter 1. An Overview of Blockchain and 5G Networks.- Chapter 2. Deep Learning Approach for Interference Mitigation in FBMC/OQAM-MIMO Systems.- Chapter 3. Deep Learning in Non-Orthogonal Multiple Access for 5G and beyond Networks.- Chapter 4. Traffic Sign Detection: A Comparative Study between CNN and RNN.- Chapter 5. Merging Attack-Defense Tree and Game Theory to Analyze Vehicular Ad-Hoc Network Security.- Chapter 6. A Secure Vehicle to Everything (V2X) Communication Model for Intelligent Transportation System.- Chapter 7. A Novel Unsupervised Learning Method for Intrusion Detection in Software Defined Networks.- Chapter 8. Deep Reinforcement Learning Modeling of a V2V communication-based Bike Avoidance Protocol for Increased Vehicular Flow.- Chapter 9. Deep Learning-based Modeling for Pedestrian Perception and Decision Making in Refuge Island for Autonomous Driving.- Chapter 10. Machine Learning for Hate Speech Detection in Arabic Social Media.- Chapter 11. PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Services.- Chapter 12. QSAR anti-HIV Feature Selection and Prediction for Drug Discovery using Genetic Algorithm and Machine Learning Algorithms.- Chapter 13. Mining Electronic Health Records of patient using Linked Data for Ranking Diseases.- Chapter 14. Deep Neural Networks based Delay Driving the Alpha Factors Ranking based Clustering: Exploring the COVID-19 Pandemic's Impact on the Economy and Markets.- Chapter 15. An Artificial Immune System for the Management of the Emergency Divisions.

• Format: Hardcover
• Language: English
• ISBN: 3030771849
• ISBN13: 9783030771843
• Release Date: February 2022
• Publisher: Springer
• Length: 273 Pages
• Weight: 1.28 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"