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

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

Self-Supervised Neuromorphic Perception for Autonomous Flying Robots

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

Promises of Deep Kernel Learning for Control Synthesis

Deep Neural Network-Based Digital Pre-distortion for High Baudrate Optical Coherent Transmission

An End-to-End Deep Learning Pipeline for Football Activity Recognition Based on Wearable Acceleration Sensors

Transient Stable Corrective Control Using Neural Lyapunov Learning

Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network

Neural-Network Decoders for Quantum Error Correction Using Surface Codes: A Space Exploration of the Hardware Cost-Performance Tradeoffs

Learning to run a power network with trust

Estimation of lignocellulosic biomass pyrolysis product yields using artificial neural networks

Data-driven modelling of energy demand response behaviour based on a large-scale residential trial

MPC Based Centralized Voltage and Reactive Power Control for Active Distribution Networks

Deterministic and Statistical Strategies to Protect ANNs against Fault Injection Attacks

Production of ethanol fuel via syngas fermentation: Optimization of economic performance and energy efficiency

Interactive Learning of Temporal Features for Control: Shaping Policies and State Representations From Human Feedback

Neural network-based formula for shear capacity prediction of one-way slabs under concentrated loads

Micromechanics-based surrogate models for the response of composites: A critical comparison between a classical mesoscale constitutive model, hyper-reduction and neural networks