Brain-Computer Interfaces based on Motor Imagery (MI-BCI) have been validated as promising systems to support rehabilitative protocols for the post-stroke motor recovery of the upper limb. To date, the long-term effects of MI-BCI training in post-stroke patients need to be clarified. In order to...
04b Atto di convegno in volume
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Group level characterization of brain networks still represents an open issue in modern neuroscience. Investigating the functional mechanisms underlying the complexity of the human brain requires an analytical way to efficiently integrate information from multiple subjects, while properly handling...
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Severe acquired brain injury often leads to a disorder of consciousness (DoC) which can be classified as vegetative state (VS) or minimally consciousness state (MCS) according to its severity. The golden standard for DoC diagnosis is currently represented by the standardized Coma Recovery Scale...
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This paper presents a centralised model predictive control (MPC) approach for the control of the recharging process of a fleet of plug-in electric vehicles (PEVs). The first control goal is to recharge the PEVs so that the user preferences on the final desired state of charge, and on the time...
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We study truthful mechanisms for welfare maximization in online bipartite matching. In our (multi-parameter) setting, every buyer is associated with a (possibly private) desired set of items, and has a private value for being assigned an item in her desired set. Unlike most online matching settings...
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Blockchain is a shared, immutable distributed ledger that facilitates the process of recording transactions and tracking assets in a business network. The paper discusses the BinTraWine project, which aims to develop a blockchain-based platform that can offer simultaneous and shared management of...
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We study classical planning for temporally extended goals expressed in Pure-Past Linear Temporal Logic (PPLTL). PPLTL is as expressive as Linear-time Temporal Logic on finite traces (LTLf), but as shown in this paper, it is computationally much better behaved for planning. Specifically, we show...
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Green-powered edge computing architectures allow bringing computation in areas that are not reached by the power grids. More often, in applications for Precision Agriculture and Smart Cities, we could have a set of nodes that are coupled with an accumulator which is, during the day, re-charged by...