Analyzing crises in global financial indices using Recurrent Neural Network based Autoencoder.

Mim MA, Tuhin MKH, Nobi A

Open source

DOI
10.1371/journal.pone.0326947
Published
2025
Container
PloS one
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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:10.1371/journal.pone.0326947,
  title = {Analyzing crises in global financial indices using Recurrent Neural Network based Autoencoder.},
  author = {Mim MA and Tuhin MKH and Nobi A},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0326947},
  url = {https://doi.org/10.1371/journal.pone.0326947}
}

RIS

TY  - JOUR
TI  - Analyzing crises in global financial indices using Recurrent Neural Network based Autoencoder.
AU  - Mim MA
AU  - Tuhin MKH
AU  - Nobi A
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0326947
UR  - https://doi.org/10.1371/journal.pone.0326947
ER  - 

APA

MA, M., MKH, T., & A, N. (2025). Analyzing crises in global financial indices using Recurrent Neural Network based Autoencoder.. PloS one. https://doi.org/10.1371/journal.pone.0326947

Source records