Graph Neural Networks for Intelligent Transportation Systems: A Survey

Improving Lateral Resolution in 3-D Imaging With Micro-beamforming Through Adaptive Beamforming by Deep Learning

Non-destructive strength prediction of composite laminates utilizing deep learning and the stochastic finite element methods

Surrogate modelling of railway pantograph-catenary interaction using deep Long-Short-Term-Memory neural networks

A hybrid deep-learning-metaheuristic framework for bi-level network design problems

Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues

Barely visible impact damage detection in composite structures using deep learning networks with varying complexities

Using knowledge graphs and deep learning algorithms to enhance digital cultural heritage management

A Deep Reinforcement Learning Approach to Configuration Sampling Problem

Anomaly based network intrusion detection for IoT attacks using deep learning technique

Leveraging Transfer Learning in LSTM Neural Networks for Data-Efficient Burst Detection in Water Distribution Systems

BLUFADER: Blurred face detection & recognition for privacy-friendly continuous authentication

A fuzzy fine-tuned model for COVID-19 diagnosis

Deep learning-based design model for suction caissons on clay

A GNN-Based Architecture for Group Detection from Spatio-Temporal Trajectory Data

Automated actual evapotranspiration estimation: Hybrid model of a novel attention based U-Net and metaheuristic optimization algorithms

Attention-based deep learning for DNA repair outcome prediction: Learning how the cell repairs DNA breaks using local sequence context

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