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Majid Niazkar, Margherita Evangelisti, Cosimo Peruzzi, Andrea Galli, Marco Maglionico and Daniele Masseroni
The first flush (FF) phenomenon is commonly associated with a relevant load of pollutants, raising concerns about water quality and environmental management in agro-urban areas. An FF event can potentially transport contaminated water into a receiving wa...
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Lorenzo Gagliardi, Sofia Matilde Luglio, Andrea Peruzzi, Marco Fontanelli, Christian Frasconi and Michele Raffaelli
In the Mediterranean area, vineyard soils are often characterized by a high stone content. In these contexts, where tools commonly adopted for under-row weed control are frequently damaged, the utilization of a chain mower could be a preferable alternati...
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Carlo Boursier Niutta, Pierpaolo Padula, Andrea Tridello, Marco Boccaccio, Francesco Acerra and Davide S. Paolino
This paper deals with an innovative nondestructive technique for composites (local-IET), which is based on the Impulse Excitation Technique (IET) and, in the presence of damage, assesses the degradation of the elastic properties of a local region of the ...
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Marco Battaglieri, Andrea Bianconi, Mariangela Bondí, Raffaella De Vita, Antonino Fulci, Giulia Gosta, Stefano Grazzi, Hyon-Suk Jo, Changhui Lee, Giuseppe Mandaglio, Valerio Mascagna, Tetiana Nagorna, Alessandro Pilloni, Marco Spreafico, Luca J. Tagliapietra, Luca Venturelli and Tommaso Vittorini
The interaction of a high-current O(100 µA), medium energy O(10 GeV) electron beam with a thick target O(1m) produces an overwhelming shower of standard model particles in addition to hypothetical light dark matter particles. While most of the radiation ...
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María Pérez Marco, Andrea Fuster-Rico, Carolina Gonzálvez
Pág. 585 - 604
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David Massegur, Declan Clifford, Andrea Da Ronch, Riccardo Lombardi and Marco Panzeri
Determining the aero-icing characteristics is key for safety assurance in aviation, but it may be a computationally expensive task. This work presents a framework for the development of low-dimensional models for application to aerofoil icing. The framew...
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Andrea Peruzzi, Marco Fontanelli and Christian Frasconi
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Elena Loli Piccolomini, Marco Prato, Margherita Scipione and Andrea Sebastiani
In this paper, we propose a new deep learning approach based on unfolded neural networks for the reconstruction of X-ray computed tomography images from few views. We start from a model-based approach in a compressed sensing framework, described by the m...
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Talita P. Pinto, Andrea Turolla, Marco Gazzoni, Michela Agostini and Taian M. Vieira
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Marco Lamberti, Ranieri Marinari, Andrea Mancini, Gianni Gadani, Antonino Pietropaolo and The SRF Collaboration
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