An online intelligent detection method for slurry density in concept drift data streams based on collaborative computing.

Wang L, Wang H, Wei T, Dai W, Wang H

Open source

DOI
10.7717/peerj-cs.2683
Published
2025
Container
PeerJ. Computer science
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.7717/peerj-cs.2683,
  title = {An online intelligent detection method for slurry density in concept drift data streams based on collaborative computing.},
  author = {Wang L and Wang H and Wei T and Dai W and Wang H},
  year = {2025},
  journal = {PeerJ. Computer science},
  doi = {10.7717/peerj-cs.2683},
  url = {https://doi.org/10.7717/peerj-cs.2683}
}

RIS

TY  - JOUR
TI  - An online intelligent detection method for slurry density in concept drift data streams based on collaborative computing.
AU  - Wang L
AU  - Wang H
AU  - Wei T
AU  - Dai W
AU  - Wang H
PY  - 2025
JO  - PeerJ. Computer science
DO  - 10.7717/peerj-cs.2683
UR  - https://doi.org/10.7717/peerj-cs.2683
ER  - 

APA

L, W., H, W., T, W., W, D., & H, W. (2025). An online intelligent detection method for slurry density in concept drift data streams based on collaborative computing.. PeerJ. Computer science. https://doi.org/10.7717/peerj-cs.2683

Source records