Mehdi Mahdaviara

Segmentation of two-phase flow X-ray tomography images to determine contact angle using deep autoencoders

PoreSkel: Skeletonization of grayscale micro-CT images of porous media using deep learning techniques

PoreSeg: An unsupervised and interactive-based framework for automatic segmentation of X-ray tomography of porous materials

Deep learning for multiphase segmentation of X-ray images of gas diffusion layers

Toward prediction of land subsidence assisted by artificial intelligence approaches

Prediction of spontaneous imbibition in porous media using deep and ensemble learning techniques

On the evaluation of the interfacial tension of immiscible binary systems of methane, carbon dioxide, and nitrogen-alkanes using robust data-driven approaches

Toward evaluation and screening of the enhanced oil recovery scenarios for low permeability reservoirs using statistical and machine learning techniques