Modeling transient natural convection in heterogeneous porous media with Convolutional Neural Networks
Abstract Convolutional Neural Networks (CNNs) are gaining significant attention in
applications related to coupled flow and transfer processes in porous media, especially …
applications related to coupled flow and transfer processes in porous media, especially …
Intelligent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack Stress Thresholds
This study aims to make a unique contribution to the existing body of knowledge about rock
strength and deformation parameters and crack stress thresholds through intelligent and …
strength and deformation parameters and crack stress thresholds through intelligent and …
Control of fracture toughness of kerogen on artificially-matured shale samples: An energy-based nanoindentation analysis
Understanding controls on mechanical properties of organic-rich shale is essential in
exploration and successful production from hydrocarbon reservoirs. In previous works, most …
exploration and successful production from hydrocarbon reservoirs. In previous works, most …
Application of Artificial Intelligence in Hydraulic Engineering
C Ma, L Cheng, J Yang - Water, 2024 - mdpi.com
Water conservancy projects have always been essential throughout the development of
human society, including the development and utilization of water resources, the …
human society, including the development and utilization of water resources, the …
Advancements in Understanding Interface Friction: A Combined Experimental and Machine Learning Approach Using Multiple Linear and Random Forest …
F Daghistani, H Abuel-Naga - Geotechnics, 2024 - mdpi.com
The interface friction between granular materials and continuum surfaces is fundamental in
civil engineering, especially in geotechnical projects where sand of varying sizes and …
civil engineering, especially in geotechnical projects where sand of varying sizes and …
Machine Learning Analysis of Cave Mine Pillar Collapses
R Quevedo - 2023 - search.proquest.com
MACHINE LEARNING ANALYSIS OF CAVE MINE PILLAR COLLAPSES Page 1 i MACHINE
LEARNING ANALYSIS OF CAVE MINE PILLAR COLLAPSES by Ricardo Quevedo A thesis …
LEARNING ANALYSIS OF CAVE MINE PILLAR COLLAPSES by Ricardo Quevedo A thesis …
Advancements in Understanding Interface Friction: A Combined Experimental and Machine Learning Approach Using Multiple Linear and Random Forest …
H Aboel Naga - 2024 - opal.latrobe.edu.au
The interface friction between granular materials and continuum surfaces is fundamental in
civil engineering, especially in geotechnical projects where sand of varying sizes and …
civil engineering, especially in geotechnical projects where sand of varying sizes and …