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

Tracing Class and Capitalism in Critical AI Research

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

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

ELISL: early-late integrated synthetic lethality prediction in cancer

Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On?

Operationalizing modular autonomous customised buses based on different demand prediction scenarios

Machine learning based parameter sensitivity of regional climate models: a case study of the WRF model for heat extremes over Southeast Australia

Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass-Conserving Dimensionality Reduction Method

Self-Supervised Learning for Enhancing Angular Resolution in Automotive MIMO Radars

Rapid Multivariate Analysis Approach to Explore Differential Spatial Protein Profiles in Tissue

EdgeBOL: A Bayesian Learning Approach for the Joint Orchestration of vRANs and Mobile Edge AI

Recent advancements of landslide hydrology