4 Contributo in Atti di Convegno (Proceeding)

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4.1 Contributo in Atti di convegno 11951
4.2 Abstract in Atti di convegno 2262
4.3 Poster 285

Prodotti recenti

On the Feasibility of Locating Myocardial Bridge though the 12-Lead Electrocardiogram: a Case Study

Myocardial bridge (MB) is a coronary artery variation where the artery tunnels through the myocardium rather than running on its surface, potentially causing ischemia and sudden cardiac death. Locating MB typically requires various imaging modalities, making widespread screening impractical. Consequently, clinical tests are usually performed after symptoms occur. We aimed to explore the feasibility of using a 12-lead electrocardiogram (ECG) to detect and locate MB by utilizing a 12-lead Holte...

Minimalist Approach to 3-D Heart Modeling: A Novel Morphing Algorithm Relying on Four Anatomical Landmarks

Computer heart modeling serves as a pivotal tool across diverse disciplines, facilitating the interpretation of electrical and mechanical information. The process of generating accurate patient-specific 3D heart model poses significant challenges, demanding time, expertise, and computational resources as established by both manual and artificial intelligent and deep-learning driven methods. In this paper, we introduce a novel morphing algorithm for generating 3D heart models with minimal inpu...

A Process-Aware Model for Industrial IoT Integration and Analytics based on Knowledge Graphs

The integration of the huge data streams produced by the Industrial Internet of Things (IIoT) can provide invaluable knowledge in the context of Industry 4.0/5.0, but is also an open research issue. The present paper proposes a semantic approach to this issue, centered around the notion of process as the backbone. The fundamental elements involved in IIoT and their relations are represented in an ontology, serving as a schema for a Process-aware IIoT Knowledge Graph where raw sensor data are ...

Least Squares Support Vector Machines-based Imitation Learning of Nonlinear Model Predictive Control

This paper presents the preliminary results of a Linear Parameter Varying-Autoregressive eXogenous model, identified through Least Squares Support Vector Machines, able to optimally drive a robotic arm system by emulating the performance of a Nonlinear Model Predictive Control (NMPC) policy. The support vector machine framework is employed to replicate the control performance of a computationally demanding NMPC. Due to the nonlinear characteristics of the robotic arm, the NMPC is suitable to ...

Adaptive Wave Energy Converter Excitation Force Predictor in the Support Vector Machine Framework

The performance of Wave Energy Converters (WECs) depends on the capability of the control system to effectively predict the force of excitation, caused by the dynamics of sea waves acting on the system. This is of particular importance in the case of advanced control policies, as for constrained and predictive control algorithms, that makes explicit use of the predicted dynamics of controlled system and related disturbances acting on it for developing the control law. This paper proposes a pr...

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