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Elenco Pubblicazioni - Publications (1288)

Fabbri, T., et al. "Distributed Task-priority Based Control in Area Coverage & Adaptive Sampling.", OCEANS 2016 MTS/IEEE Aberdeen. IEEE, 2017.

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The paper presents the first simulative results and algorithmic developments of the task-priority based control applied to a distributed sampling network in an area coverage or adaptive sampling mission scenario. The proposed approach allowing the…
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Piazza R, Condino S, Alberti A, Berchiolli RN, Coppi G, Gesi, Ferrari V, and Ferrari M - Design of a sensorized guiding catheter for in situ laser fenestration of endovascular stent. Computer Assisted Surgery, Vol 22, Issue 1, July 2017, Pages 27-38

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Purpose: The in situ fenestration of a standard endograft is currently limited by difficulties in targeting the fenestration site under fluoroscopic control and by the lack of a safe method to perforate the graft. Evidence…
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D. Mulfari, A. Palla, L. Fanucci - Using TensorFlow to design assistive technologies for people with visual impairments - 11th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing

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TensorFlow is an open source deep learning framework developed at Google that enables developers to conceive a wide variety of applications based on artificial intelligence principles. In this paper, we employ such software resources towards…
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Piazza R. et al. (2017) Using of 3D Virtual Reality Electromagnetic Navigation for Challenging Cannulation in FEVAR Procedure. Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2017. Lecture Notes in Computer Science, vol10325, June 2017

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Virtual Reality (VR) is promising not just for the game and entertainment industry, but also for the medical and surgical fields, to develop simulation systems and navigation tools for the intra-operative assistance. Electromagnetic (EM) tracking…
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R. Morello, R. Di Rienzo, R. Roncella, R. Saletti and F. Baronti, "Tuning of Moving Window Least Squares-based algorithm for online battery parameter estimation," SMACD 2017, Giardini Naxos, Italy, 2017, pp. 1-4.

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Online battery parameter identification algorithms, such as the Moving Window Least Squares, allow model-based state estimators with low computational intensity to be very accurate. This paper presents a procedure for tuning the algorithm parameters by…
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