Microseismic event detection and localization: A migration-based and machine-learning approach using full waveforms

A data-driven and machine-learning study on microstructure-property relations in steel

Towards Self-Sufficient High-Rises: Performance Optimisation using Artificial Intelligence

Instruction Flow-based Detectors against Fault Injection Attacks

Investigating the effects of sleepiness in truck drivers on their headway: An instrumental variable model with grouped random parameters and heterogeneity in their means

Generation of design allowables on the open hole tensile strength of composite laminates using sensitivity analysis and uncertainty quantification framework

A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing

Overcoming Selection Bias in Synthetic Lethality Prediction

Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study

Probabilistic vegetation transitions in dunes by combining spectral and lidar data

On the use of transfer modeling to design new steels with excellent rotating bending fatigue resistance even in the case of very small calibration datasets

Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure

Three Symmetries for Data-Driven Pedestrian Inertial Navigation

Data-driven optimization of building-integrated ducted openings for wind energy harvesting: Sensitivity analysis of metamodels

SGS Reaction rate modelling for MILD combustion based on machine-learning combustion mode classification: Development and a priori study

Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network

MLSmellHound: A Context-Aware Code Analysis Tool

MLTK01: A Prototyping Toolkit for Tangible Learning Things

Fusion of Radar Data Domains for Human Activity Recognition in Assisted Living

Interpretable neural network with limited weights for constructing simple and explainable HI using SHM data