Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction.

Sangwan N, Bhatnagar V.

Open source

DOI
10.1038/s41598-025-86785-3
Published
2025-01-20
Container
Sci Rep
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-025-86785-3,
  title = {Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction.},
  author = {Sangwan N and  Bhatnagar V.},
  year = {2025},
  journal = {Sci Rep},
  doi = {10.1038/s41598-025-86785-3},
  url = {https://doi.org/10.1038/s41598-025-86785-3}
}

RIS

TY  - JOUR
TI  - Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction.
AU  - Sangwan N
AU  -  Bhatnagar V.
PY  - 2025
JO  - Sci Rep
DO  - 10.1038/s41598-025-86785-3
UR  - https://doi.org/10.1038/s41598-025-86785-3
ER  -

APA

N, S., & V., B. (2025). Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction.. Sci Rep. https://doi.org/10.1038/s41598-025-86785-3

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