Individual and joint body movement assessed by wearable sensing as a predictor of attraction in speed dates

Enhancing spatial resolution of GRACE-derived groundwater storage anomalies in Urmia catchment using machine learning downscaling methods

Automated Classification of Well Test Responses in Naturally Fractured Reservoirs Using Unsupervised Machine Learning

A Fast Multi-objective Evolutionary Approach for Designing Large-Scale Optical Mode Sorter

Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm

Inverse-designed growth-based cellular metamaterials

Drone-racing champions outpaced by AI

Metadata Representations for Queryable Repositories of Machine Learning Models

Causal scientific explanations from machine learning

Dominant factors determining the hydraulic conductivity of sedimentary aquitards: A random forest approach

Machine learning-based evaluation of dynamic thermal-tempering performance and thermal diversity for 107 Cambridge courtyards

More than accuracy: end-to-end wind power forecasting that optimises the energy system

Data-driven augmentation of a RANS turbulence model for transonic flow prediction

Machine learning in microseismic monitoring

Towards machine learning for moral choice analysis in health economics: A literature review and research agenda

Predicting the response of complex systems for coastal management

Utilization of response surface methodology and machine learning for predicting and optimizing mixing and compaction temperatures of bio-modified asphalt

Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems

Prediction & optimization of alkali-activated concrete based on the random forest machine learning algorithm

Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables