Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Gianluca Gazzola"'
Autor:
Gianluca Gazzola, Sebastiano Pasinato, Marco Fantin, Niccolò Braidi, Cristina Tubaro, Christian Durante, Abdirisak Ahmed Isse
Publikováno v:
Molecules, Vol 27, Iss 19, p 6312 (2022)
Use of iron-based catalysts in atom transfer radical polymerization (ATRP) is very interesting because of the abundance of the metal and its biocompatibility. Although the mechanism of action is not well understood yet, iron halide salts are usually
Externí odkaz:
https://doaj.org/article/13aeb1248042493b90715e0f9497e0b4
Autor:
Filippo Caschera, Gianluca Gazzola, Mark A Bedau, Carolina Bosch Moreno, Andrew Buchanan, James Cawse, Norman Packard, Martin M Hanczyc
Publikováno v:
PLoS ONE, Vol 5, Iss 1, p e8546 (2010)
BACKGROUND: We consider the problem of optimizing a liposomal drug formulation: a complex chemical system with many components (e.g., elements of a lipid library) that interact nonlinearly and synergistically in ways that cannot be predicted from fir
Externí odkaz:
https://doaj.org/article/a6f9e6277d594750b3245dc2fe80a98a
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2676:453-467
National Bridge Inventory (NBI) data is regularly collected for 617,000+ national bridges in the U.S. These data, which consist of 100+ fields related to bridges and culverts, have been shown to contain errors. These errors could reduce the effective
Autor:
Gianluca Gazzola, Myong K. Jeong
Publikováno v:
Annals of Operations Research. 303:483-506
We introduce “Polyhedral Support Vector Regression” (PSVR), a regression model for data represented by arbitrary convex polyhedral sets. PSVR is derived as a generalization of support vector regression, in which the data is represented by individ
Autor:
Gianluca Gazzola, Christina Colaluca Sørensen, Steen Rasmussen, Peter Zingg, Ditlev Hartmann Bornebusch, Norman H. Packard
Publikováno v:
Bornebusch, D H, Sørensen, C C, Zingg, P, Gazzola, G, Packard, N H & Rasmussen, S 2020, Automated replication optimization for protocellular information system . in Artificial Life Conference Proceedings . MIT Press, pp. 219-220, ALIFE 2020: The 2020 Conference on Artificial Life, Virtual, 13/07/2020 . https://doi.org/10.1162/isal_a_00301
Due to the high cost of experiments, high dimensional complex systems with multiple parameters usually pose grand challenges not only in artificial life but in areas including manufacturing processes, supply chains as well as services in the healthca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98e5222ae03b2daa0899651079154291
https://findresearcher.sdu.dk:8443/ws/files/183918921/isal_a_00301.pdf
https://findresearcher.sdu.dk:8443/ws/files/183918921/isal_a_00301.pdf
Autor:
Norman H. Packard, Anne E. d’Aquino, Filippo Caschera, Ashty S. Karim, Michael C. Jewett, Gianluca Gazzola
Publikováno v:
ACS Synthetic Biology. 7:2841-2853
Building variant ribosomes offers opportunities to reveal fundamental principles underlying ribosome biogenesis and to make ribosomes with altered properties. However, cell viability limits mutations that can be made to the ribosome. To address this
Autor:
Gianluca Gazzola, Doh-Soon Kwak, Dong Min Kim, Seung Hoon Tong, Bokeon Kim, Myong-Kee Jeong, Jeongsub Choi
Publikováno v:
IEEE Transactions on Semiconductor Manufacturing. 31:343-355
We introduce integrated multi-stage importance assessment (IMSIA), a method for the assessment of stage importance in multi-stage processes (MSPs) characterized by a hierarchy of relationships between stages. The importance measured by IMSIA may be u
Autor:
Young-Seon Jeong, Byoung-Youl Coh, Byunghoon Kim, Jaekyung Yang, Myong K. Jeong, Jae-Min Lee, Gianluca Gazzola
Publikováno v:
Scientometrics. 113:1-16
This article introduces a method for identifying potential opportunities of innovation arising from the convergence of different technological areas, based on the presence of edge outliers in a patent citation network. Edge outliers are detected via
Autor:
Myong K. Jeong, Gianluca Gazzola
Publikováno v:
Pattern Recognition. 96:106980
We introduce a method for selecting a small subset of informative, non-redundant predictors from a set of input variables, given an output variable. The core of this method is a novel measure of variable importance, which is an enhancement of the so-
Publikováno v:
Scientometrics. 98:1811-1825
In today's competitive business environment, the timely identification of potential technology opportunities is becoming increasingly important for the strategic management of technology and innovation. Existing studies in the field of technology opp