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Minimize experimentation overhead through dataset selection, ensemble feature attention, and feature selection with reduced subset sizes
Stress Evolution in Early-Age Cementitious Materials Considering Autogenous Deformation and Creep: New experimental and modelling techniques
Enhancing Semiconductor Technology Development by Co-Development and Supply Chain Integration
Simulating Dynamics of Institutions
Inferring the residential building type from 3DBAG
Computationally Aware Surrogate Models for the Hydrodynamic Response Characterization of Floating Spar-Type Offshore Wind Turbine
Improving global digital elevation models using space-borne GEDI and ICESat-2 LiDAR altimetry data
Paving the road towards automated homogeneous catalyst design
Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach
Downscaling MODIS NDSI to Sentinel-2 fractional snow cover by random forest regression
Uncovering taste heterogeneity and non-linearity for urban mode choice using SHAP
Structural health monitoring of the additively manufactured structures with embedded fiber optic sensors
A Machine Learning Approach to Reduce Uncertainty in Ex-ante LCA
Aircraft Tail-Specific Performance Modeling for Fuel Efficient Flight Operations in the Cruise Phase
Sparse & Interpretable Graph Attention Networks
Countermeasures against Fault Injection Attacks in Neural Networks and Processors
Deep Learning for Geotechnical Engineering: The Effectiveness of Generative Adversarial Networks in Subsoil Schematization
Predicting HPV status in oropharyngeal carcinoma using multiparametric MRI and clinical variables
Advanced constitutive model parameter determination, optimisation and selection using a database of triaxial tests and machine learning tools
Quantum to Transport: Modeling Transport Properties of Aqueous Potassium Hydroxide by Machine Learning Molecular Force Fields from Quantum Mechanics
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