Towards computer vision-based approach for an adaptive traffic control system
Clicks: 313
ID: 13496
2018
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
67.0
/100
313 views
223 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #17 of 40 articles by views in imaging science journal
Most read
Least read
Bar heights use a square-root scale.
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 |
ata2018towardsimaging
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Ata, M. |
| Journal | imaging science journal |
| Year | 2018 |
| DOI |
10.1080/13682199.2018.1498624
|
| 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.