Hybrid human-centric haptic shared control using artificial neural network and model predictive control

Microphones as Airspeed Sensors for Micro Air Vehicles

Crashworthiness Analysis of An Aircraft Subfloor Structure using Artificial Neural Networks

Trajectory Pruning with Neural Networks for Efficient Monte-Carlo based Quadrotor Flight Envelope Prediction

An Artificial Neural Network Approach to Within-Game Predictions in Football using Spatiotemporal Data

Neural Network-based Optimization of Solid-and Fluid Mechanical Simulations

Wind turbine gearbox fault prognosis using high-frequency monitoring SCADA data

Football activity recognition: A deep learning approach to football activity recognition based on Inertial Measurement Units signals

Low-Thrust Interplanetary Trajectory Optimization Using Pre-Trained Artificial Neural Network Surrogates

Acoustic-Based Aircraft Detection and Ego-Noise Suppression: for Micro Aerial Vehicles

Automated lane changing using deep reinforcement learning: a user-acceptance case study

Practical implementation of reinforcement learning algorithms for giving personalised speed advice to cyclists approaching intersections using function approximation and Dyna

Comparing the performance of machine learning methods in a surrogate approach to optimize low-thrust interplanetary trajectories

Artificial Intelligence-Based Radio Resource Management in Sliced Radio Access Networks

Evaluation of linear regression and neural network methods for estimating occupancy in office buildings using bGrid sensor data

Accelerating Basecalling with Dataflow Computing

European option pricing under the rough Heston model using the COS method

Humble Giants: Computational Intelligence for Designing More Sustainable High-rise Buildings using Surrogate Models

Noise-augmented offline training of ANN unresolved-scale models

Investigating the use of neural network surrogate models in the evolutionary optimization of interplanetary low-thrust trajectories