A Hybrid LSTM-ResNet Deep Neural Network for Noise Reduction and Classification of V-Band Receiver Signals

Arab, Homa; Ghaffari, Iman; Evina, Romaric Mvone; Tatu, Serioja Ovidiu; Dufour, Steven; Arab, Homa; Ghaffari, Iman; Evina, Romaric Mvone; Tatu, Serioja Ovidiu; Dufour, Steven

A Hybrid LSTM-ResNet Deep Neural Network for Noise Reduction and Classification of V-Band Receiver Signals

Homa Arab, Iman Ghaffari, Romaric Mvone Evina, Serioja Ovidiu Tatu, Steven Dufour

Article (2022)

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Department:

Department of Mathematics and Industrial Engineering

PolyPublie URL:

https://publications.polymtl.ca/50241/

Journal Title :

IEEE Access ( vol. 10 )

Publisher:

IEEE

DOI:

10.1109/access.2022.3147980

Official URL:

https://doi.org/10.1109/access.2022.3147980

OAI:

oai:publications.polymtl.ca:50241

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Date Deposited:

18 Apr 2023 14:58

Last Modified:

14 Oct 2026 14:06

Cite in APA 7:

Arab, H., Ghaffari, I., Evina, R. M., Tatu, S. O., & Dufour, S. (2022). A Hybrid LSTM-ResNet Deep Neural Network for Noise Reduction and Classification of V-Band Receiver Signals. IEEE Access, 10, 14797-14806. https://doi.org/10.1109/access.2022.3147980

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