Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Algirdas Lančinskas"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract During the COVID-19 pandemic it is essential to test as many people as possible, in order to detect early outbreaks of the infection. Present testing solutions are based on the extraction of RNA from patients using oropharyngeal and nasophar
Externí odkaz:
https://doaj.org/article/033327d43de140e0942fd3d913ec0e07
Publikováno v:
Sensors, Vol 14, Iss 3, Pp 4634-4656 (2014)
The optimization-based quantitative determination of multianalyte concentrations from biased biosensor responses is investigated under internal and external diffusion-limited conditions. A computational model of a biocatalytic amperometric biosensor
Externí odkaz:
https://doaj.org/article/2ebf38e032c8444187fec594ac8aac75
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 56, Iss A (2015)
Chronic non-communicable diseases are caused by a combination of multilocus genetic risk factors. The genetic risk assessment companies, e.g. Navigenics and 23andMe, calculate a lifetime risk of a disease by the use of strong assumptions on the total
Externí odkaz:
https://doaj.org/article/95b0b30f3a424e49a5de93f26a11a484
Publikováno v:
Mathematical Modelling and Analysis, Vol 20, Iss 5 (2015)
A stochastic search optimization algorithm is developed and applied to solve a bi-objective competitive facility location problem for firm expansion. Parallel versions of the developed algorithm for shared- and distributed-memory parallel computing s
Externí odkaz:
https://doaj.org/article/802b0c21826b40c3a329803b0f7a77f2
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e104992 (2014)
In this paper we propose some mathematical models to plan a Next Generation Sequencing experiment to detect rare mutations in pools of patients. A mathematical optimization problem is formulated for optimal pooling, with respect to minimization of th
Externí odkaz:
https://doaj.org/article/f9d72ab4b43a4db7b6c4fdc6e4b5b4f4
Publikováno v:
Nonlinear Analysis, Vol 18, Iss 3 (2013)
A hybrid multi-objective optimization algorithm based on genetic algorithm and stochastic local search is developed and evaluated. The single agent stochastic search local optimization algorithm has been modified in order to be suitable for multi-obj
Externí odkaz:
https://doaj.org/article/86e0e164b1074b75ae189f71a2b2a630
Publikováno v:
Optimization Letters. 17:867-877
Publikováno v:
Soft Computing. 24:17705-17713
We address a discrete competitive facility location problem with an asymmetric objective function and a binary customer choice rule. Both an integer linear programming formulation and a heuristic optimization algorithm based on ranking of candidate l
Publikováno v:
Informatica, Vilnius : Vilnius University Institute of Data Science and Digital Technologies, 2020, vol. 31, iss. 2, p. 205-224
We consider a geographical region with spatially separated customers, whose demand is currently served by some pre-existing facilities owned by different firms. An entering firm wants to compete for this market locating some new facilities. Trying to
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Scientific Reports
Scientific reports, Berlin : Nature Research, 2021, vol. 11, iss. 1, art. no. 3459, p. 1-7
Scientific Reports
Scientific reports, Berlin : Nature Research, 2021, vol. 11, iss. 1, art. no. 3459, p. 1-7
During the COVID-19 pandemic it is essential to test as many people as possible, in order to detect early outbreaks of the infection. Present testing solutions are based on the extraction of RNA from patients using oropharyngeal and nasopharyngeal sw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98028e685507b05e5c996895bc9e0704
https://hdl.handle.net/11580/84903
https://hdl.handle.net/11580/84903