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Shima Kamyab

Showing results (1-10 of 3) with videos related to

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Peerj. Computer Science|May 31, 2022
Deep learning methods for inverse problemsShima Kamyab, Zohreh Azimifar, Rasool Sabzi, et al.
Scientific Reports|March 4, 2021
Evaluation of the total volatile basic nitrogen (TVB-N) content in fish fillets using hyperspectral imaging coupled with deep learning neural network and meta-analysisMarzieh Moosavi-Nasab, Sara Khoshnoudi-Nia, Zohreh Azimifar, et al.
Water Research|November 20, 2025
From fixed points to optimum regions: AI-NSGA-II framework for high-recovery, low-energy brackish water ROLeili Abkar, Shima Kamyab, Amirreza Aghili Mehrizi, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Peerj. Computer Science|May 31, 2022
Deep learning methods for inverse problemsShima Kamyab, Zohreh Azimifar, Rasool Sabzi, et al.
Scientific Reports|March 4, 2021
Evaluation of the total volatile basic nitrogen (TVB-N) content in fish fillets using hyperspectral imaging coupled with deep learning neural network and meta-analysisMarzieh Moosavi-Nasab, Sara Khoshnoudi-Nia, Zohreh Azimifar, et al.
Water Research|November 20, 2025
From fixed points to optimum regions: AI-NSGA-II framework for high-recovery, low-energy brackish water ROLeili Abkar, Shima Kamyab, Amirreza Aghili Mehrizi, et al.
Pageof 1