Traffic congestion is among the worst causes of pollution, and the time spent in traffic can cost the world tens of billions of dollars every year. Solutions to mitigate this problem are at hand thanks to the advent of advanced control techniques and artificial intelligence (AI). Traditional...
04b Atto di convegno in volume
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In digital transformation, Industrial Data Space (IDS) is a key enabler for industry 4.0 to improve the industrial process, efficiency, and energy consumption by exploiting learning-based techniques. The present paper focuses on improving the decision-making process in complex industrial...
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In this paper, a subgradient method for solving mixed-integer linear programming problems is tailored and used to control in a distributed, and hence scalable way, the recharging process of a fleet of plug-in electric vehicles (PEVs). This makes possible to scale the problem to large PEV fleets, in...
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Motion analysis is a fundamental methodology for examining upper-limb function. The objective of this study is to find a kinematic index for objectively evaluating the motor impairment caused by a stroke, during the execution of the Box and Block Test (BBT). We tracked trunk and upper limb motion...
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Muscle synergy approach has been validated as powerful tool to provide insights into the impaired upper limb movement of stroke survivors. To date, no study has explored muscle synergies and their features in one of the most used clinical tests to assess motor function performance, such as the Box...
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We introduce Strategy Repair, the problem of finding a minimal amount of modifications to turn a strategy for a reachability game from losing into winning. The problem is relevant for a number of settings in Planning and Synthesis, where solutions essentially correspond to winning strategies in a...
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Answering temporal CQs over temporalized Description Logic knowledge bases (TKB) is a main technique to realize ontology-based situation recognition. In case the collected data in such a knowledge base is inaccurate, important query answers can be missed. In this paper we introduce the TKB...
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Breast cancer is a heterogeneous and complex disease as witnessed by the existence of different subtypes with distinct morphologies and clinical implications. Despite the remarkable advances in understanding the mechanisms underlying breast cancer, this disease is still a major public health...
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SAveRUNNER is a recently developed network-based tool to efficiently identify novel medical indications for currently approved drugs (known as drug repurposing strategy). Up to now, SAveRUNNER has been gainfully applied to unveil repurposable solutions for several diseases, including viral...
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The Datalog query language can express several powerful recursive properties, often crucial in real-world scenarios. While answering such queries is feasible over relational databases, the picture changes dramatically when data is enriched with intensional knowledge. It is indeed well-known that...