Recent advancements in Graph Neural Networks (GNN) have facilitated their widespread adoption in various applications, including recommendation systems. GNNs have proven to be effective in addressing the challenges posed by recommendation systems by efficiently modeling graphs in which nodes...
01a Articolo in rivista
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: Visual Analytics (VA) has become a paramount discipline in supporting data analysis in many scientific domains, empowering the human user with automatic capabilities while keeping the lead in the analysis. At the same time, designing an effective VA solution is not a simple task, requiring its...
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The epidemiology and clinical characteristics of COVID-19 evolved due to new SARS-CoV-2 variants of concern (VOCs). The Omicron VOC’s higher transmissibility increased paediatric COVID-19 cases and hospital admissions. Most research during the Omicron period has focused on hospitalised cases,...
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A deep understanding of pedestrian intention and crossing behaviors is crucial in applications like pedestrian attribute recognition and autonomous driving. While vehicles need to predict the movements of pedestrians accurately for safety, the recognition and re-identification systems rely on...
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Background Takotsubo syndrome (TTS) is an acute coronary syndrome characterized by a reversible, mostly apical dysfunction of the left ventricle. Based on the triggering event, TTS has been classified as primary due to emotional causes and secondary due to physical stress. Using a comprehensive...
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Fleet owners deal with various and critical uncertainties while planning bus fleet replacement, encompassing macroeconomic and technological factors, such as fuel and electricity prices, energy consumption, purchasing costs of electric batteries and powertrains, and bus salvage value upon resale....
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Over recent years, scholarly interest in universities' allocation and effective utilisation of financial resources has been growing. When used efficiently, financial resources may improve universities' quality of research and teaching, and therefore their positions in world university rankings....
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The present study developed several machine learning-based cost models to predict an efficient total economic cost per vehicle revenue-mile of urban public bus transport. The models were trained on a built-in dataset from 269 transit agencies providing urban services in the United States from 2015...
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— This paper proposes and analyzes a distributed filter where the consensus term is a virtual output rather than the local state estimate. This feature allows for reducing the data transmitted among nodes at each intermediate step, namely instead of exchanging a vector of the dimension of the state...
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This article deals with the problem of fuel saving in the design of flight plans for a formation flight connecting a given set of departure and arrival airports. Fuel savings occur when aircraft form proper flight formations during the cruise phase to take advantage of the induced drag reduction of...