19 citations · 22 across the 7 of their papers we have counts for
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cs.CV2022
3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy
Omar Alfarisi, Zeyar Aung, Qingfeng Huang +6
Planetary exploration depends heavily on 3D image data to characterize the static and dynamic properties of the rock and environment. Analyzing 3D images requires many computations…
cs.CV2021★ 19 cited
Morphology Decoder: A Machine Learning Guided 3D Vision Quantifying Heterogenous Rock Permeability for Planetary Surveillance and Robotic Functions
Omar Alfarisi, Aikifa Raza, Djamel Ouzzane +3
Permeability has a dominant influence on the flow properties of a natural fluid. Lattice Boltzmann simulator determines permeability from the nano and micropore network. The simula…