The System for Operational Monitoring and Analytics of Industry Cyber-Physical Systems Security in Fuel and Energy Domains Based on Anomaly Detection and Prediction Methods
Clicks: 178
ID: 83041
2020
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
Steady Performance
30.0
/100
178 views
20 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #25 of 44 articles by views in studies in systems, decision and control
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 |
nashivochnikov2020thestudies
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Nashivochnikov, N. |
| Journal | studies in systems, decision and control |
| Year | 2020 |
| DOI |
10.1007/978-3-030-32648-7_21
|
| 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.