Deep learning methods for cardiomyocyte motion analysis

Extreme-value Neural Networks for Weather Forecasting

Short-term Earthquake Prediction with Deep Neural Networks: Finding the optimal time prior to earthquake strikes to use in predictions

Development of an LSTM-based methodology for burst detection in water distribution systems

Multi-modal deep learning based 3D image registration for osseous anatomies

On the use of ResNet architec- tures for Side-Channel Analysis

Bayesian deep learning for system identification

Long-term traffic flow predictions in a transformer-based framework: Capturing temporal and external features, to obtain a traffic flow prediction for the next 24 hours

Inverting the structure–property map of truss metamaterials by deep learning

IGA-Reuse-NET: A deep-learning-based isogeometric analysis-reuse approach with topology-consistent parameterization[Formula presented]

Spatial–temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism

Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

The Best of Two Worlds: Deep Learning-assisted Template Attack

Deep Vanishing Point Detection: Geometric priors make dataset variations vanish

Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis

Interconnects for DNA, Quantum, In-Memory and Optical Computing: Insights from a Panel Discussion

Visually-guided motion planning for autonomous driving from interactive demonstrations

Radar-based Human Activities Classification with Complex-valued Neural Networks

Efficient MSPSO Sampling for Object Detection and 6D Pose Estimation in 3D Scenes

Surrogate-assisted inversion for large-scale history matching: Comparative study between projection-based reduced-order modeling and deep neural network