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...
04b Atto di convegno in volume
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Among the existing attack models, Attack Graphs (AGs) represent a powerful abstraction to capture the notion of multi step attacks i.e., ensembles of sequential vulnerability exploits taken by an attacker with a specific objective. A well-known issue in using AGs is their poor scalability due to...
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One major limitation to the applicability of Reinforcement Learning (RL) to many practical domains is the large number of samples required to learn an optimal policy. To address this problem and improve learning efficiency, we consider a linear hierarchy of abstraction layers of the Markov Decision...
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We consider an agent acting to fulfil tasks in a nondeterministic environment. When a strategy that fulfills the task regardless of how the environment acts does not exist, the agent should at least avoid adopting strategies that prevent from fulfilling its task. Best-effort synthesis captures this...
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Among the most common issues to be faced in optical satellite communications, weather conditions play a fundamental role for a correct transmission of the information. In the case of heavy rain, hailstorm snow, or even dense clouds, a communication channel between the satellite and a optical ground...
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Behavioural Cloning is a Machine Learning method concerning how a machine attempts to autonomously mimic the actions of a human, or in general a complex controller, performing a given task. This work innovatively exploits Behavioural Cloning in support of Pediatric Neurorehabilitation. In...
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One major limitation to the applicability of Reinforcement Learning (RL) to many practical domains is the large number of samples required to learn an optimal policy. To address this problem and improve learning efficiency, we consider a linear hierarchy of abstraction layers of the Markov Decision...
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This extended abstract summarizes our recent work in which we study a dynamic Controlled Query Evaluation method over Description Logic ontologies.
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Recent years witnessed a growing interest in the employment of intelligent techniques for the management of manufacturing processes in smart manufacturing. These processes may include tens of resources distributed among several different companies composing the supply chain. The status of the...
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In recent years, there has been an increase interest in using intelligent methods to control manufacturing processes. Tens of resources to be modeled and offered as services through Industrial APIs, may be used in these processes and orchestrated throughout the various supply chain companies. The...