Abstract—In two recent contributions [1], [2], we have provided a comparative analysis of various optimization algorithms, which can be used for atomic location estimation, and s...
Stefano Tennina, Marco Di Renzo, Fabio Graziosi, F...
We explore some presynaptic mechanisms of the calyx of Held synapse through a stochastic model. The model, drawn from a kinetic approach developed in literature, exploits process c...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
Abstract—We propose a solution to improve fairness and increase throughput in wireless networks with location information. Our approach consists of a multipath routing protocol, ...
Lucian Popa 0002, Costin Raiciu, Ion Stoica, David...
-- In a WAN established infrastructure, one of the main problems ATM network planners and users face, when greater than T1/E1 bandwidth is required, is the high cost associated to ...
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...