A hybrid approach to implement the Digital Twin concept into a damage evolution prediction for composite structures

Forecasting of SARS-Cov-2 Infections within Dutch Municipalities using Spatio-Temporal Graph Neural Networks

Multi-Sensor Human Detection on an Intelligent Security Robot

Nowcasting heavy precipitation in the Netherlands: a deep learning approach

A Novel Method for Solving High-Dimensional Backward Stochastic Differential Equations Using Malliavin Calculus and Deep Learning

Counting People in a Group in Outdoor Scenarios using mm-wave Radar

Learning Interaction-Aware Trajectory Predictions for Multi-Robot Motion Planning

Modular Neural Networks for Video Prediction

Classifying Human Manual Control Behavior in Tracking Tasks with Various Display types Using the InceptionTime CNN

Breakpoint detection through neural nets: A feasibility study

Automated classification of satellite data of informal urban settlements

Prediction of Aircraft Trip Fuel Deviations for Fuel Loading Decisions with a Deep Time Series Approach

Complex-Valued Neural Networks for Radar-based Human-Motion Classification

Applying Machine Learning to Learn System Dynamics Models for Urban Systems

Artificial intelligence in breast-specific gamma imaging: Exploring the possibilities of automation of breast cancer detection and classification

Application of Deep Learning to Coherent Fourier Scatterometry data

Design and Interpretation of a Convolutional Neural Network Architecture for Imaging Mass Spectrometry Data

Deep Reinforcement Learning for Goal-directed Visual Navigation

Vision-guided object pose estimation for robotic pushing in real-time

A Case for Deep Learning in Mining Software Repositories