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