Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Giacomo Da Col"'
Autor:
Giacomo Da Col, Fabio Del Ben, Michela Bulfoni, Matteo Turetta, Lorenzo Gerratana, Serena Bertozzi, Antonio Paolo Beltrami, Daniela Cesselli
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundThe purpose of the present work was to test whether quantitative image analysis of circulating cells can provide useful clinical information targeting bone metastasis (BM) and overall survival (OS >30 months) in metastatic breast cancer (MB
Externí odkaz:
https://doaj.org/article/4f9a6bda3f2c4b98aaca453ca5a46c5a
Autor:
Giacomo Da Col, Erich C. Teppan
Publikováno v:
Operations Research Perspectives, Vol 9, Iss , Pp 100249- (2022)
The job shop scheduling problem is one of the most studied optimization problems to this day and it becomes more and more important in the light of the fourth industrial revolution (Industry 4.0) that aims at fully automated production processes. For
Externí odkaz:
https://doaj.org/article/e57271679cec4e68a4a12a5685d9c5f5
Autor:
Giacomo Da Col, Erich Teppan
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 306, Iss Proc. ICLP 2019, Pp 259-265 (2019)
The job-shop scheduling is one of the most studied optimization problems from the dawn of computer era to the present day. Its combinatorial nature makes it easily expressible as a constraint satisfaction problem. In this paper, we compare the perfor
Externí odkaz:
https://doaj.org/article/1966d4faaa844a2fb6df11570752a2ab
Autor:
Giacomo Da Col, Eva Eggeling, Marco Hudelist, Christoph Schinko, Christof Surtmann, Erich Teppan
Flat roofs have become popular also in central and northern Europe during the last decades. One advantage when compared to pitched roofs is that flat roofs are typically significantly cheaper. Furthermore, the roof space can be used also as a garden,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc8de2a3e09bfde440539fd91716eed
https://doi.org/10.3233/faia220073
https://doi.org/10.3233/faia220073
Autor:
Erich Christian Teppan, Giacomo Da Col
Publikováno v:
Advances in Integrations of Intelligent Methods ISBN: 9789811519178
Generating optimized large-scale production plans is an important open problem where even small improvements result in significant savings. Application scenarios in the semiconductor industry comprise thousands of machines and hundred thousands of jo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d6bf68ac6ce628c21fbfbf191e7d510
https://doi.org/10.1007/978-981-15-1918-5_7
https://doi.org/10.1007/978-981-15-1918-5_7
Autor:
Miriam Isola, Daniela Cesselli, Matteo Turetta, Laura Mariuzzi, Miran Skrap, Carla Di Loreto, Fabio Del Ben, Tamara Ius, Michela Bulfoni, Enrico Pegolo, Stefania Marzinotto, Cathryn Anne Scott, Antonio Paolo Beltrami, Giacomo Da Col
Publikováno v:
Cancers
Volume 12
Issue 1
Cancers, Vol 12, Iss 1, p 50 (2019)
Volume 12
Issue 1
Cancers, Vol 12, Iss 1, p 50 (2019)
(1) Background: Recently, it has been shown that the extent of resection (EOR) and molecular classification of low-grade gliomas (LGGs) are endowed with prognostic significance. However, a prognostic stratification of patients able to give specific w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cc21985a67e7c4c1a8b1381e30b56c8
Autor:
Erich Christian Teppan, Giacomo Da Col
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030300470
CP
CP
The job shop scheduling problem (JSSP) is an abstraction of industrial scheduling and has been studied since the dawn of the computer era. Its combinatorial nature makes it easily expressible as a constraint satisfaction problem. Nevertheless, in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::228c91eed876e970c594970c1d68489e
https://doi.org/10.1007/978-3-030-30048-7_9
https://doi.org/10.1007/978-3-030-30048-7_9
Autor:
Erich Christian Teppan, Giacomo Da Col
Publikováno v:
KI 2016: Advances in Artificial Intelligence ISBN: 9783319460727
KI
KI
Job-shop scheduling problems constitute a big challenge in nowadays industrial manufacturing environments. Because of the size of realistic problem instances, applied methods can only afford low computational costs. Furthermore, because of highly dyn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed696995fb65a711270a14d91bd14e5e
https://doi.org/10.1007/978-3-319-46073-4_11
https://doi.org/10.1007/978-3-319-46073-4_11