Výsledky vyhledávání - "Luca Buonanno"

Akademický článek

X-TIME: Accelerating Large Tree Ensembles Inference for Tabular Data With Analog CAMs

Autor: Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Archit Gajjar, Lei Zhao, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves

Publikováno v: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 10, Pp 116-124 (2024)

Structured, or tabular, data are the most common format in data science. While deep learning models have proven formidable in learning from unstructured data such as images or speech, they are less accurate than simpler approaches when learning from

Externí odkaz: https://doaj.org/article/a602a5141d5341bda6924b89239da5ec

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Akademický článek

Detection and discrimination of neutron capture events for NCEPT dose quantification

Autor: Andrew Chacon, Marissa Kielly, Harley Rutherford, Daniel R. Franklin, Anita Caracciolo, Luca Buonanno, Ilenia D’Adda, Anatoly Rosenfeld, Susanna Guatelli, Marco Carminati, Carlo Fiorini, Mitra Safavi-Naeini

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)

Abstract Neutron Capture Enhanced Particle Therapy (NCEPT) boosts the effectiveness of particle therapy by capturing thermal neutrons produced by beam-target nuclear interactions in and around the treatment site, using tumour-specific $$^{10}$$ 10 B

Externí odkaz: https://doaj.org/article/21d5cb55f3024fd8a2f264b79ff42613

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Gamma-Ray Spectroscopy and Imaging with SiPMs Readout of Scintillators: Front-End Electronics and Position Sensitivity Algorithms

Autor: Luca Buonanno

Publikováno v: Special Topics in Information Technology ISBN: 9783031153730

This is an introductory article to the topics more widely discussed in the PhD thesis from the same author. Following a short introduction and the motivations for researching innovative gamma-ray detector systems, this article describes a novel 85 dB

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3dfc36eafe4fdb8d83e5abb5a0f82ff
https://doi.org/10.1007/978-3-031-15374-7_4

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