Multivariate time series classification of Fermi-detected gamma-ray transients using convolutional-recurrent neural networks
- DOI
- 10.1088/2632-2153/ae5501
- Published
- 2026
- Container
- Machine Learning: Science and Technology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1088/2632-2153/ae5501,
title = {Multivariate time series classification of Fermi-detected gamma-ray transients using convolutional-recurrent neural networks},
author = {Arpan Aryam John and Krushna Govind Shete and Shabnam Iyyani and Saptarshi Bej},
year = {2026},
journal = {Machine Learning: Science and Technology},
doi = {10.1088/2632-2153/ae5501},
url = {https://doi.org/10.1088/2632-2153/ae5501}
}RIS
TY - JOUR TI - Multivariate time series classification of Fermi-detected gamma-ray transients using convolutional-recurrent neural networks AU - Arpan Aryam John AU - Krushna Govind Shete AU - Shabnam Iyyani AU - Saptarshi Bej PY - 2026 JO - Machine Learning: Science and Technology DO - 10.1088/2632-2153/ae5501 UR - https://doi.org/10.1088/2632-2153/ae5501 ER -
APA
John, A. A., Shete, K. G., Iyyani, S., & Bej, S. (2026). Multivariate time series classification of Fermi-detected gamma-ray transients using convolutional-recurrent neural networks. Machine Learning: Science and Technology. https://doi.org/10.1088/2632-2153/ae5501
Source records
- doaj · retrieved 2026-09-25T17:05:23.042Z