1st Edition
Networked Artificial Intelligence AI-Enabled 5G Networking
1. Networked Artificial Intelligence
2. Artificial Intelligent Agent
3. Agent Function
4. Agent Modeling
5. Multi-Agent System
6. Protocol Layer Architecture
7. Artificial Intelligence Performance Analysis
8. Unsupervised Machine Learning
9. Supervised Machine Learning
10. Deep Learning
11. Overfitting and Underfitting
12. Hybrid Learning
13. Reinforcement Learning
14. Artificial Intelligence Application and Network Protocol Architecture Model
15. AI-Enabled Network
16. AI-Enabled End-to-End Network
17. AI-Enabled Peer-to-Peer Network
18. Artificial Intelligence-Enabled 5G Network
Biography
Radhika Ranjan Roy is an electronics engineer, US Army Research, Development, and Engineering Command (RDECOM), Communications–Electronics Research, Development, and Engineering Center (CERDEC), Space and Terrestrial Communications Directorate (S&TCD) Laboratories, Aberdeen Proving Ground (APG), Maryland, since 2009. Before joining to US Army Research, he worked in various capacities in CACI, SAIC, AT&T/Bell Laboratories, CSC, and PDB since his graduation. He earned his PhD in electrical engineering with major in computer communications from the City University of New York, New York, in 1984, and MS in electrical engineering from the Northeastern University, Boston, Massachusetts, in 1978. He received his BS in electrical engineering from the Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 1967. He has published more than 50 technical papers. He is holding and/or submitted over 30 patents. He authored a book titled Handbook of Mobile Ad Hoc Networks on Mobility Models in 2010.
