An Integrated Terrestrial-Satellite Cellular 5G Network Routing Protocol Using Reinforcement Learning Techniques
Clicks: 121
ID: 275944
2023
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
121 views
34 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #204 of 259 articles by views in lecture notes in networks and systems
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 259 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract is not available for this article.
Login to Search Abstract
| Reference Key |
deepika2023anlecture
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Deepika, J. |
| Journal | lecture notes in networks and systems |
| Year | 2023 |
| DOI |
10.1007/978-981-19-4960-9_3
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.