Stress Evolution in Early-Age Cementitious Materials Considering Autogenous Deformation and Creep: New experimental and modelling techniques

Simulating Dynamics of Institutions

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

Structural health monitoring of the additively manufactured structures with embedded fiber optic sensors

Countermeasures against Fault Injection Attacks in Neural Networks and Processors

Computational models for clinical drug response prediction: aligning transcriptomic data of patients and pre-clinical models

Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model

Exploring the Use of Granger Causality for the Identification of Chemical Exposure Based on Physiological Data

Machine Learning Approach for the Prediction of Eutectic Temperatures for Metal-Free Deep Eutectic Solvents

Anomaly Detection in WAAM Deposition of Nickel Alloys: Single-Material and Cross-Material Analysis

Bicycle Data-Driven Application Framework: A Dutch Case Study on Machine Learning-Based Bicycle Delay Estimation at Signalized Intersections Using Nationwide Sparse GPS Data

Unveiling microbial biomarkers of ruminant methane emission through machine learning

Accelerating Machine Learning Queries with Linear Algebra Query Processing

Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning

Application of Deep Neural Networks to the Operator Space of Nonlinear PDE for Physics-Based Proxy Modelling

ELISL: early-late integrated synthetic lethality prediction in cancer