Zobrazeno 1 - 10 of 48 pro vyhledávání: '"Alessio Langiu"'
1
Akademický článek
Combinatorial optimisation in radiotherapy treatment planning
Autor: Emma Altobelli, Maurizio Amichetti, Alessio Langiu, Francesca Marzi, Filippo Mignosi, Pietro Pisciotta, Giuseppe Placidi, Fabrizio Rossi, Giorgio Russo, Marco Schwarz, Stefano Smriglio, Sabina Vennarini
Publikováno v: AIMS Medical Science, Vol 5, Iss 3, Pp 204-223 (2018)
The goal of radiotherapy is to cover a target area with a desired radiation dose while keeping the exposition of non-target areas as low as possible in order to reduce radiation side effects. In the case of Intensity Modulated Proton Therapy (IMPT),
Externí odkaz: https://doaj.org/article/ef05ef5c55c740e6966748539a9f71ce
Zobrazit plný text záznamu
2
Akademický článek
Bacteria classification using minimal absent words
Autor: Gabriele Fici, Alessio Langiu, Giosuè Lo Bosco, Riccardo Rizzo
Publikováno v: AIMS Medical Science, Vol 5, Iss 1, Pp 23-32 (2017)
Bacteria classification has been deeply investigated with different tools for many purposes,such as early diagnosis, metagenomics, phylogenetics. Classification methods based on ribosomalDNA sequences are considered a reference in this area. We prese
Externí odkaz: https://doaj.org/article/9b051edbacda4bec8e2dc1d32ddea221
Zobrazit plný text záznamu
3
Affordable Remote Terminal for Sensor Observation Service
Autor: Luca Sabatucci, Laura La Gattuta, Vincenzo Suraci, Mario Sprovieri, Alessio Langiu
Publikováno v: ICAART (1)
Scopus-Elsevier
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, pp. 272–278, 2020
info:cnr-pdr/source/autori:Gattuta L.L.; Langiu A.; Sabatucci L.; Suraci V.; Sprovieri M./titolo:Affordable remote terminal for sensor observation service/titolo_volume:Proceedings of the 12th International Conference on Agents and Artificial Intelligence/curatori_volume:/editore:/anno:2020
In the Internet of Things era, where the availability of data connectivity and smart devices is every day spreading more and more, the capability of acquiring sensor data through a simple, affordable and power efficient solution is a promoting factor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c48f0ec8da0624918ff580e531c9353
https://doi.org/10.5220/0009149802720278
Zobrazit plný text záznamu
4
On optimal parsing for LZ78-like compressors
Autor: Salvatore Aronica, Francesca Marzi, Filippo Mignosi, Salvatore Mazzola, Alessio Langiu
Publikováno v: Theoretical computer science 710 (2018): 19–28. doi:10.1016/j.tcs.2017.02.019
info:cnr-pdr/source/autori:Salvatore Aronica Alessio Langiu Francesca Marzi Salvatore Mazzola Filippo Mignosi/titolo:On optimal parsing for LZ78-like compressors/doi:10.1016%2Fj.tcs.2017.02.019/rivista:Theoretical computer science/anno:2018/pagina_da:19/pagina_a:28/intervallo_pagine:19–28/volume:710
Flexible parsing algorithm, a two-steps-greedy parsing algorithm for text factorisation, has been proved to be an optimal parsing for LZ78-like compressors in the case of constant-cost phrases [1] , [2] . Whilst in early implementations of LZ78-like
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::370ea8c7ccfebffd30f77d358cb2ce3c
http://www.cnr.it/prodotto/i/383601
Zobrazit plný text záznamu
5
Bacteria classification using minimal absent words
Autor: Riccardo Rizzo, Alessio Langiu, Giosuè Lo Bosco, Gabriele Fici
Publikováno v: AIMS Medical Science, Vol 5, Iss 1, Pp 23-32 (2017)
AIMS journal 5 (2018): 23–32. doi:10.3934/medsci.2018.1.23
info:cnr-pdr/source/autori:Fici, Gabriele; Langiu, Alessio; Lo Bosco, Giosue; Rizzo, Riccardo/titolo:Bacteria classification using minimal absent words/doi:10.3934%2Fmedsci.2018.1.23/rivista:AIMS journal/anno:2018/pagina_da:23/pagina_a:32/intervallo_pagine:23–32/volume:5
Bacteria classification has been deeply investigated with different tools for many purposes, such as early diagnosis, metagenomics, phylogenetics. Classification methods based on ribosomal DNA sequences are considered a reference in this area. We pre
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54d087454f5516f5dd984f4345ed49f4
http://www.aimspress.com/medicalScience/article/1765/fulltext.html
Zobrazit plný text záznamu
6
Pelagic Species Identification by Using a PNN Neural Network and Echo-Sounder Data
Autor: Ignazio Fontana 1( B ), Giovanni Giacalone 1, Angelo Bonanno 1, Salvatore Mazzola 1, Gualtiero Basilone 1, Simona Genovese 1, Salvatore Aronica 1, Solon Pissis 5, Costas S. Iliopoulos 5, Ritu Kundu 5, Antonino Fiannaca 2, Alessio Langiu 2, Giosue' Lo Bosco 3, 4, Massimo La Rosa 2, Riccardo Rizzo
Publikováno v: 26th International Conference on Artificial Neural Networks, pp. 454–455, Alghero, September 11-14, 2017
info:cnr-pdr/source/autori:Ignazio Fontana 1( B ), Giovanni Giacalone 1, Angelo Bonanno 1, Salvatore Mazzola 1, Gualtiero Basilone 1, Simona Genovese 1, Salvatore Aronica 1, Solon Pissis 5, Costas S. Iliopoulos 5, Ritu Kundu 5, Antonino Fiannaca 2, Alessio Langiu 2, Giosue' Lo Bosco 3,4, Massimo La Rosa 2, and Riccardo Rizzo/congresso_nome:26th International Conference on Artificial Neural Networks/congresso_luogo:Alghero/congresso_data:September 11-14, 2017/anno:2017/pagina_da:454/pagina_a:455/intervallo_pagine:454–455
For several years, a group of CNR researchers conducted acoustic surveys in the Sicily Channel to estimate the biomass of small pelagic species, their geographical distribution and their variations over time. The instrument used to carry out these su
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::923fabdfa01a0a12fbe6f3fd9aa92bff
https://publications.cnr.it/doc/377805
Zobrazit plný text záznamu
7
Artificial Neural Networks for Fault Tollerance of an Air-Pressure Sensor Network
Autor: Salvatore Aronica, Gualtiero Basilone, Angelo Bonanno, Ignazio Fontana, Simona Genovese, Giovanni Giacalone, Alessio Langiu, Giosué Lo Bosco, Salvatore Mazzola, Riccardo Rizzo
Publikováno v: 26th International Conference on Artificial Neural Networks, pp. 456–456, Alghero, September 11-14, 2017
info:cnr-pdr/source/autori:Salvatore Aronica, Gualtiero Basilone, Angelo Bonanno, Ignazio Fontana, Simona Genovese, Giovanni Giacalone, Alessio Langiu, Giosué Lo Bosco, Salvatore Mazzola, and Riccardo Rizzo/congresso_nome:26th International Conference on Artificial Neural Networks/congresso_luogo:Alghero/congresso_data:September 11-14, 2017/anno:2017/pagina_da:456/pagina_a:456/intervallo_pagine:456–456
A meteorological tsunami, commonly called Meteotsunami, is a tsunami-like wave originated by rapid changes in barometric pressure that involve the displacement of a ody of water. This phenomenon is usually present in the sea cost area of Mazara del V
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::dac10a21a3d1653c3d7eabbbbf246b9c
http://www.cnr.it/prodotto/i/377806
Zobrazit plný text záznamu
8
Abelian Powers and Repetitions in Sturmian Words
Autor: Alessio Langiu, Élise Prieur-Gaston, Gabriele Fici, Filippo Mignosi, Thierry Lecroq, Jarkko Peltomäki, Arnaud Lefebvre
Publikováno v: Theoretical computer science 635 (2016): 16–34. doi:10.1016/j.tcs.2016.04.039
info:cnr-pdr/source/autori:Fici, Gabriele; Langiu, Alessio; Lecroq, Thierry; Lefebvre, Arnaud; Mignosi, Filippo; Peltomäki, Jarkko; Prieur-Gaston, Élise/titolo:Abelian powers and repetitions in Sturmian words/doi:10.1016%2Fj.tcs.2016.04.039/rivista:Theoretical computer science/anno:2016/pagina_da:16/pagina_a:34/intervallo_pagine:16–34/volume:635
Theoretical Computer Science
Theoretical Computer Science, Elsevier, 2016, 635, pp.16-34. ⟨10.1016/j.tcs.2016.04.039⟩
Fici, G, Langiu, A, Lecroq, T, Lefebvre, A, Mignosi, F, Peltomäki, J & Prieur-Gaston, É 2016, ' Abelian powers and repetitions in Sturmian words ', Theoretical Computer Science . https://doi.org/10.1016/j.tcs.2016.04.039
Richomme, Saari and Zamboni (J. Lond. Math. Soc. 83: 79-95, 2011) proved that at every position of a Sturmian word starts an abelian power of exponent $k$ for every $k > 0$. We improve on this result by studying the maximum exponents of abelian power
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92f85ad06f065b9feed476c54cd14447
https://hal.archives-ouvertes.fr/hal-01956122
Zobrazit plný text záznamu
9
The longest common substring problem
Autor: Filippo Mignosi, Alessio Langiu, Maxime Crochemore, Costas S. Iliopoulos
Publikováno v: MSCS. Mathematical structures in computer science
27 (2017): 277–295. doi:10.1017/S0960129515000110
info:cnr-pdr/source/autori:CROCHEMORE, MAXIME; ILIOPOULOS, COSTAS S.; LANGIU, ALESSIO; MIGNOSI, FILIPPO/titolo:The longest common substring problem/doi:10.1017%2FS0960129515000110/rivista:MSCS. Mathematical structures in computer science (Print)/anno:2017/pagina_da:277/pagina_a:295/intervallo_pagine:277–295/volume:27
Given a set$\mathcal{D}$ofqdocuments, the Longest Common Substring (LCS) problem asks, for any integer 2 ⩽k⩽q, the longest substring that appears inkdocuments. LCS is a well-studied problem having a wide range of applications in Bioinformatics: f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cb7c0fce32b59c3a6007fe1a46d91aa
https://doi.org/10.1017/s0960129515000110
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje