Computational modeling and optimization of biopharmaceutical downstream processes

Damage Detection of Gantry Crane with a Moving Mass Using Artificial Neural Network

Micromechanics-based deep-learning for composites: Challenges and future perspectives

Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance

Forecasting electricity demand of municipalities through artificial neural networks and metered supply point classification

Self-Supervised Neuromorphic Perception for Autonomous Flying Robots

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

Microphones as Airspeed Sensors for Micro Air Vehicles

Black-Box Online Aerodynamic Performance Optimization for a Seamless Wing with Distributed Morphing

Promises of Deep Kernel Learning for Control Synthesis

To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration

Enhancing early-stage energy consumption predictions using dynamic operational voyage data: A grey-box modelling investigation

How does “listening” help fracture understanding?

Efficient Embedded Element Pattern Prediction via Machine Learning: A Case Study with Planar Non-Uniform Sub-Arrays

Using artificial neural networks to accelerate flowsheet optimization for downstream process development

Rapid extraction of pavement aggregate gradation based on point clouds using deep learning networks

A comparative neural networks and neuro-fuzzy based REBA methodology in ergonomic risk assessment: An application for service workers

Physically recurrent neural networks for path-dependent heterogeneous materials: Embedding constitutive models in a data-driven surrogate

Design of Artificial Neural Network for predicting the reduction in permeability of porous media as a result of polymer gel injection

Quantitative Damage Monitoring of Filament Wound Composites by Using Machine Learning-Based Techniques