Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations

Feasibility of a neural network‐based virtual sensor for vehicle unsprung mass relative velocity estimation

Machine Learning in Chemical Engineering: A Perspective

A comparative study of point clouds semantic segmentation using three different neural networks on the railway station dataset

Classification prognostics approaches in aviation

Road type classification of MLS point clouds using deep learning

Perception modelling by invariant representation of deep learning for automated structural diagnostic in aircraft maintenance: A study case using DeepSHM

Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study

A semi-supervised autoencoder framework for joint generation and classification of breathing

Lookahead adversarial learning for near real-time semantic segmentation

Recurrent inference machines as inverse problem solvers for MR relaxometry

A generic high-throughput microstructure classification and quantification method for regular SEM images of complex steel microstructures combining EBSD labeling and deep learning

Deep learning for CVA computations of large portfolios of financial derivatives

Traditional vs. Machine-learning methods for forecasting sandy shoreline evolution using historic satellite-derived shorelines

Airborne Laser Scanning Point Cloud Classification Using the DGCNN Deep Learning Method

Research On ADCN Method For Damage Detection Of Mining Conveyor Belt

A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer

A survey on deep learning in medical image reconstruction

On the Importance of Pooling Layer Tuning for Profiling Side-Channel Analysis

Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration