Machine learning approach to railway ballast degradation prognosis considering crumb rubber modification and parent rock strength

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

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

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

Detecting moments of distraction during meditation practice based on changes in the EEG signal

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

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

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

Machine learning in microseismic monitoring

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

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

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

Metadata Representations for Queryable Repositories of Machine Learning Models

Data-driven clay-fouled ballast permeability assessment using analytical-numerical and machine learning approaches

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

A high-resolution record of surface melt on Antarctic ice shelves using multi-source remote sensing data and deep learning

Improving Adaptive Learning Models Using Prosodic Speech Features

Acoustic Emission-Based Detection in Restricted-Access Areas Using Multiple PZT Disc Sensors

Data-Driven Support Vector Machine to Predict Thin-Walled Tube Energy Absorbers Behavior

Interaction-Aware Motion Planning in Crowded Dynamic Environments