This paper develops a novel Machine Learning (ML)-based strategy to distribute aperiodic Cooperative Awareness Messages (CAMs) through cellular Vehicle-to-Vehicle (V2V) communications. According it, an ML algorithm is employed by each vehicle forecast its future CAM generation times; then, the autonomously selects radio resources for message broadcasting on basis of provided algorithm. action c...

Abstract Low electricity prices put economic pressure on hydropower companies. A more flexible water fee design can counteract this and support companies during times when market revenues are low. However, comes at the cost of lower for resource owners. Using a sample data 62 revenue derived from an model, we have quantified trade-off case Switzerland. We found that price developments dominate ...

A three-neuron network model with mixed delays involving multiple discrete and distributed is considered in this paper. Taking the distribute as bifurcation parameters respectively, we investigate stability of system structure conditions for generation Hopf from perspective distribution root characteristic equation linearized at equilibrium state nonlinear system. The intervals that make stable...