Scoring pleurisy in slaughtered pigs using convolutional neural networks

Autor: Abigail R. Trachtman, Luca Bergamini, Andrea Palazzi, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Andrea Paolini, Giorgio Vignola, Simone Calderara, Giuseppe Marruchella

Publikováno v: Veterinary Research, Vol 51, Iss 1, Pp 1-9 (2020)

Abstract Diseases of the respiratory system are known to negatively impact the profitability of the pig industry, worldwide. Considering the relatively short lifespan of pigs, lesions can be still evident at slaughter, where they can be usefully reco

Externí odkaz: https://doaj.org/article/e74ba56b2e764914af64cb5c1ed1951e

Fluid–Structure Interaction of a thin cylindrical shell filled with a non-Newtonian fluid

Autor: Antonio Zippo, Giovanni Iarriccio, Luca Bergamini, Elena Colombini, Paolo Veronesi, Francesco Pellicano

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1e00fe67a384b3e327a799f069f19c4
https://hdl.handle.net/11380/1294669

Magnetic modulation of IR properties of rod-slit complementary spintronic metasurfaces in presence of a molecular vibration

Autor: Luca Bergamini, Gaspar Armelles, Alfonso Cebollada, M. Ujue Gonzales, Raquel Alvaro, Lorena Torne, Nerea Zabala, Javier Aizpurua

Publikováno v: Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP).

We show that the magnetic-modulation of the optical response induced by an external magnetic field in giant-magneto-resistance rod-slit arrays is more sensitive to the presence of a molecular vibration than the direct optical response.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e3393eaac76663a54b3203d2b5b2948c
https://doi.org/10.1364/3d.2022.jw2a.44

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations

Autor: Chih Hu, Hugo Grimmett, Luca Bergamini, Oliver Scheel, Luca Del Pero, Long Chen, Blazej Osinski, Yawei Ye, Peter Ondruska

Publikováno v: ICRA

In this work, we present a simple end-to-end trainable machine learning system capable of realistically simulating driving experiences. This can be used for the verification of self-driving system performance without relying on expensive and time-con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::084498c4222119d578fbd2d7b44a86e7
http://arxiv.org/abs/2105.12332

Extracting accurate long-term behavior changes from a large pig dataset

Autor: Stefano Pini, Luca Bergamini, Simone Calderara, Roberto Vezzani, R. B. D'Eath, Alessandro Simoni, Robert B. Fisher

Publikováno v: VISIGRAPP (5: VISAPP)
Bergamini, L, Pini, S, Simoni, A, Vezzani, R, Calderara, S, D’Eath, R B & Fisher, R B 2021, Extracting Accurate Long-Term Behavior Changes from a Large Pig Dataset . in Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications-(Volume 5) . pp. 524-533, 16th International Conference on Computer Vision Theory and Applications, Online Conference, 8/02/21 . https://doi.org/10.5220/0010288405240533

Visual observation of uncontrolled real-world behavior leads to noisy observations, complicated by occlusions, ambiguity, variable motion rates, detection and tracking errors, slow transitions between behaviors, etc. We show in this paper that reliab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfc86049aa17f8d22455c8cf0b5adbfc
https://hdl.handle.net/11380/1239408