Predicting the probability of occurrence of spread-F over Brazil using neural networks
A physics-informed deep learning paradigm for car-following models
Nonlinear aerodynamic reduced order modeling by discrete time recurrent neural networks
A neural network model for UAV propulsion system
Asynchronous n-step Q-learning adaptive traffic signal control
An intelligentized and fast calibration method of SINS on moving base for planed missiles
Multi-objective optimization of a bidirectional impulse turbine
Self-learning control for coordinated collision avoidance of automated vehicles
Machine learning applications in activity-travel behaviour research: a review
Analog sun sensor measurement correction using deep neural network
A NARX damper model for virtual tuning of automotive suspension systems with high-frequency loading
An empirical model for the carbon dioxide emissions of a diesel engine
Application of neural networks in resolution of disputes for escalation clause using neuro-solutions
Application of neural networks in resolution of disputes for escalation clause using neuro-solutions
Improving slip factor prediction for centrifugal pumps using artificial neural networks
Influence of coordinated traffic lights parameters on roadside pollutant concentrations