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Paria Rahmani

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Environmental Science and Pollution Research International|February 10, 2024
An interpretable deep learning model to map land subsidence hazardParia Rahmani, Hamid Gholami, Shahram Golzari
Scientific Reports|August 15, 2024
An assessment of global land susceptibility to wind erosion based on deep-active learning modelling and interpretation techniquesHamid Gholami, Aliakbar Mohammadifar, Yougui Song, et al.
Pageof 1

Showing results (1-10 of 2) with videos related to

Sort By:
Pageof 1
Environmental Science and Pollution Research International|February 10, 2024
An interpretable deep learning model to map land subsidence hazardParia Rahmani, Hamid Gholami, Shahram Golzari
Scientific Reports|August 15, 2024
An assessment of global land susceptibility to wind erosion based on deep-active learning modelling and interpretation techniquesHamid Gholami, Aliakbar Mohammadifar, Yougui Song, et al.
Pageof 1