Zobrazeno 1 - 10
of 10 480
pro vyhledávání: '"A. Carra"'
Autor:
Carra, Damiano, Neglia, Giovanni
Commonly used caching policies, such as LRU (Least Recently Used) or LFU (Least Frequently Used), exhibit optimal performance only under specific traffic patterns. Even advanced machine learning-based methods, which detect patterns in historical requ
Externí odkaz:
http://arxiv.org/abs/2405.01263
Autor:
Moritz, Milene N. O., Dores-Silva, Paulo R., Coto, Amanda L. S., Selistre-de-Araújo, Heloísa S., Leitão, Andrei, Cauvi, David M., De Maio, Antonio, Carra, Serena, Borges, Júlio Cesar
Publikováno v:
Cell Stress & Chaperones, 2023 Nov 01. 28(6), 1001-1012.
Externí odkaz:
https://www.jstor.org/stable/48759923
Autor:
Ecroyd, Heath, Bartelt-Kirbach, Britta, Ben-Zvi, Anat, Bonavita, Raffaella, Bushman, Yevheniia, Casarotto, Elena, Cecconi, Ciro, Lau, Wilson Chun Yu, Hibshman, Jonathan D., Joosten, Joep, Kimonis, Virginia, Klevit, Rachel, Liberek, Krzysztof, McMenimen, Kathryn A., Miwa, Tsukumi, Mogk, Axel, Montepietra, Daniele, Peters, Carsten, Rocchetti, Maria Teresa, Saman, Dominik, Sisto, Angela, Secco, Valentina, Strauch, Annika, Taguchi, Hideki, Tanguay, Morgan, Tedesco, Barbara, Toth, Melinda E., Wang, Zihao, Benesch, Justin L. P., Carra, Serena
Publikováno v:
Cell Stress & Chaperones, 2023 Nov 01. 28(6), 621-629.
Externí odkaz:
https://www.jstor.org/stable/48759893
Autor:
Auteri, Monica1 (AUTHOR) monica.auteri@unipa.it, Carra, Angela2 (AUTHOR) angela.carra@cnr.it, Di Miceli, Giuseppe1 (AUTHOR) giuseppe.dimiceli@unipa.it, Iacuzzi, Nicolò1 (AUTHOR) nicoletta.lala@unipa.it, Albano, Alessandro3 (AUTHOR) alessandro.albano@unipa.it, Lala, Nicoletta1 (AUTHOR), Motisi, Antonio2 (AUTHOR) antonio.motisi@ibbr.cnr.it, Catalano, Caterina2,4 (AUTHOR) caterina.catalano@cnr.it
Publikováno v:
Agronomy. Nov2024, Vol. 14 Issue 11, p2667. 11p.
Autor:
Moglioni, M., Kraan, A. C., Berti, A., Carra, P., Cerello, P., Ciocca, M., Ferrero, V., Fiorina, E., Mazzoni, E., Morrocchi, M., Pennazio, F., Retico, A., Rosso, V., Sportelli, G., Vitolo, V., Bisogni, G.
Background and purpose: In-beam Positron Emission Tomography (PET) is one of the modalities that can be used for in-vivo non-invasive treatment monitoring in proton therapy. PET distributions obtained during various treatment sessions can be compared
Externí odkaz:
http://arxiv.org/abs/2210.04584
Autor:
Cunico, Federico, Capogrosso, Luigi, Setti, Francesco, Carra, Damiano, Fummi, Franco, Cristani, Marco
This work makes a substantial step in the field of split computing, i.e., how to split a deep neural network to host its early part on an embedded device and the rest on a server. So far, potential split locations have been identified exploiting uniq
Externí odkaz:
http://arxiv.org/abs/2209.11607
Autor:
Notari, Lorenzo, Pasquali, Michele, Carra, Federico, Losasso, Marcello, Guardia-Valenzuela, Jorge, Tomut, Marilena
Publikováno v:
In Heliyon 30 December 2024 10(24)
Autor:
Accettura, C., Baudin, L., Bertarelli, A., Brabetz, C., Carra, F., Martynenko, A.S., Morena, A., Moros, A., Peroni, L., Scapin, M., Neumayer, P., Tomut, M., Wegert, L.
Publikováno v:
In Results in Materials December 2024 24
Autor:
de Almeida Camargo, Beatriz, da Silva Feltran, Geórgia, Fernandes, Célio Junior da Costa, Carra, Maria Gabriela, Saeki, Margarida Juri, Zambuzzi, Willian F.
Publikováno v:
In Journal of Trace Elements in Medicine and Biology December 2024 86
Autor:
Callovini, Tommaso, Di Nicola, Marco, Pepe, Maria, Crocamo, Cristina, Bartoli, Francesco, Sani, Gabriele, Carrà, Giuseppe
Publikováno v:
In Journal of Psychiatric Research December 2024 180:227-233