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Found 4 papers, 1 papers with code
Hotspot Prediction of Severe Traffic Accidents in the Federal District of Brazil
This work attempts to add to the diversity of research, by focusing mainly on concentration of accidents and how machine learning can be used to predict hotspots.
Large-Scale Graph Reinforcement Learning in Wireless Control Systems
As the number of learnable parameters in a neural network grows with the size of the input signal, deep reinforcement learning may fail to scale, limiting the immediate generalization of such scheduling and resource allocation policies to large-scale systems.
Modeling and characterizing stochastic neurons based on in vitro voltage-dependent spike probability functions
Neurons in the nervous system are submitted to distinct sources of noise, such as ionic-channel and synaptic noise, which introduces variability in their responses to repeated presentations of identical stimuli.
Model-Free Design of Control Systems over Wireless Fading Channels
Wireless control systems replace traditional wired communication with wireless networks to exchange information between actuators, plants and sensors in a control system.
