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References from Image-driven feature mining for elastic modulus prediction in asphalt concrete. Local targets link to admitted publications; unresolved targets remain external evidence.
Elastic properties of two-dimensional two-phase composites with isotropic phases
10.1007/s11029-010-9168-4 · 2010 · External reference
Instrumented nanoindentation and 3D mechanistic modeling of a shale at multiple scales
10.1007/s11440-014-0363-7 · 2015 · External reference
Unresolved reference
2008 · External reference
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
10.7717/peerj-cs.623 · 2021 · External reference
Cost-effective approaches based on machine learning to predict dynamic modulus of warm mix asphalt with high reclaimed asphalt pavement
10.3390/ma13153272 · 2020 · External reference
Coupled thermomechanical damage behavior analysis of asphalt pavements using a 2D mesostructure-based finite-element method
10.1061/jpeodx.0000263 · 2021 · External reference
Regression-based performance prediction in asphalt mixture design and input analysis with SHAP
10.3390/app151910779 · 2025 · External reference
Algorithm for computing the effective linear elastic properties of heterogeneous materials - 3-dimensional results for composites with equal phase Poisson ratios
10.1016/0022-5096(95)00050-s · 1995 · External reference
Neural networks for fatigue cracking prediction using outputs from pavement mechanistic-empirical design
10.1080/10298436.2019.1580367 · 2021 · External reference
Critical response analysis of asphalt pavement on concrete curved ramp bridge deck considering tire-bridge interaction
10.1080/10298436.2024.2373936 · 2024 · External reference
Spectral CT imaging: technical principles of dual-energy CT and multi-energy photon-counting CT
10.1016/j.diii.2022.11.003 · 2023 · External reference
Statistical-theory of effective electrical, thermal, and magnetic-properties of random heterogeneous materials. 5. One-dimensional and 2-dimensional systems
10.1063/1.522508 · 1975 · External reference
Vertical distribution of air voids based on X-ray computed tomography
2012 · External reference
Artificial neural networks: a tutorial
10.1109/2.485891 · 1996 · External reference
A model of point-to-face contact for three-dimensional discontinuous deformation analysis
10.1007/s00603-003-0008-x · 2004 · External reference
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
10.1016/j.aei.2015.01.008 · 2015 · External reference
Microstructure recognition using convolutional neural networks for prediction of ionic conductivity in ceramics
10.1016/j.actamat.2017.09.004 · 2017 · External reference
Two-step approach to prediction of asphalt concrete modulus from two-phase micromechanical models
10.1061/(asce)0899-1561(2005)17:4(407) · 2005 · External reference
Elastic modulus prediction of asphalt concrete
10.1061/(asce)0899-1561(1999)11:3(236) · 1999 · External reference
Predicting the effective mechanical property of heterogeneous materials by image based modeling and deep learning
10.1016/j.cma.2019.01.005 · 2019 · External reference
Effects of shale swelling on shale mechanics during shale-liquid interaction
10.1016/j.energy.2023.128098 · 2023 · External reference
A deep learning convolutional neural network and multi-layer perceptron hybrid fusion model for predicting the mechanical properties of carbon fiber
10.1016/j.matdes.2023.111760 · 2023 · External reference
Machine learning approaches for elastic localization linkages in high-contrast composite materials
10.1186/s40192-015-0042-z · 2015 · External reference
Prediction of asphalt concrete energy release rate from Texas Overlay Test using machine learning
10.1080/14680629.2024.2356796 · 2025 · External reference
Evaluating the use of neural networks and genetic algorithms for prediction of subgrade resilient modulus
10.1080/10298436.2012.671944 · 2013 · External reference
Machine learning approaches for predicting Cracking Tolerance Index (CTIndex) of asphalt concrete containing reclaimed asphalt pavement
10.1371/journal.pone.0287255 · 2023 · External reference
Neural network model for resilient modulus of emulsified asphalt mixtures
10.1016/j.conbuildmat.2007.01.031 · 2008 · External reference
deep learning-based image analysis predicts PD-L1 status from H&E-stained histopathology images in breast cancer
10.1038/s41467-022-34275-9 · 2022 · External reference
A two-dimensional random aggregate structure generation method: determining effective thermo-mechanical properties of asphalt concrete
10.1016/j.mechmat.2020.103510 · 2020 · External reference
3D multiscale modeling of asphalt pavement responses under coupled temperature-stress fields
2022 · External reference
Classification and reconstruction of three-dimensional microstructures using support vector machines
10.1016/j.commatsci.2004.07.004 · 2005 · External reference
Classical and recent formulations for linear elasticity
10.1007/bf02736684 · 2001 · External reference
A new approach to modelling the effective thermal conductivity of heterogeneous materials
10.1016/j.ijheatmasstransfer.2006.02.007 · 2006 · External reference
Improved procedure for the 3D reconstruction of asphalt concrete mesostructures considering the similarity of aggregate phase geometry between adjacent CT slices
2023 · External reference
Three-dimensional mesomechanical complex modulus prediction for asphalt mortar considering conjunctive shell mechanism of interface transition zones and properties of coarse mastic
2025 · External reference
Simulation and analysis of composite structures
10.1016/0025-5416(85)90413-6 · 1985 · External reference
New edge-to-edge contact calculating algorithm in three-dimensional discrete numerical analysis
10.1016/j.advengsoft.2006.11.007 · 2008 · External reference
Evaluating RLWT rutting test of asphalt mixtures based on industrial computerized tomography
10.1155/2018/6827064 · 2018 · External reference
Interpretable machine learning for predicting splitting strength of asphalt concrete: insights from SHAP analysis
10.3390/ma19081636 · 2026 · External reference
Mesostructural characterization of particulate composites via a contact detection algorithm of ellipsoidal particles
10.1016/j.powtec.2012.01.016 · 2012 · External reference
An overlapping detection algorithm for random sequential packing of elliptical particles
10.1016/j.physa.2011.02.048 · 2011 · External reference
Quicksilver: fast predictive image registration - a deep learning approach
10.1016/j.neuroimage.2017.07.008 · 2017 · External reference
Deep learning method for determining the surface elastic moduli of microstructured solids
10.1016/j.eml.2021.101226 · 2021 · External reference
Neural network modeling of resilient Modulus using routine subgrade soil properties
10.1061/(asce)1532-3641(2010)10:1(1) · 2010 · External reference
The research on aggregate microstructure uniformity image processing of asphalt mixture based on computer scanning technology
2014 · External reference
Using high-resolution industrial CT scan to detect the distribution of rejuvenation products in porous asphalt concrete
10.1016/j.conbuildmat.2015.09.064 · 2015 · External reference
Contact based analysis of asphalt pavement with the effect of aggregate angularity
10.1016/s0167-6636(99)00054-x · 2000 · External reference
