Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sven E, Eklund"'
Autor:
John Wikswo, David E. Cliffel, David W. Wright, Clare K. Carney, Roy G. Thompson, Rachel M. Snider, Sven E. Eklund
Publikováno v:
Sensors, Vol 9, Iss 3, Pp 2117-2133 (2009)
Harnessing the potential of cells as complex biosensors promises the potential to create sensitive and selective detectors for discrimination of biodefense agents. Here we present toxin detection and suggest discrimination using cells in a multianaly
Externí odkaz:
https://doaj.org/article/18bc5dbb615d45d2a20b75e558ee91e2
Autor:
Sven E. Eklund
Publikováno v:
Parallel Computing. 30:647-676
Genetic algorithms are a group of stochastic search algorithms with a broad field of application. Although highly successful in many fields, genetic algorithms in general suffer from long execution times. In this article we describe parallel models f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50bb4e5ce1d5d1d17297bfff99cfbce5
https://doi.org/10.1016/j.parco.2003.12.009
https://doi.org/10.1016/j.parco.2003.12.009
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 303
A technique for simultaneously measuring changes in extracellular glucose, lactate, and oxygen concentrations in conjunction with acidification rates on a Cytosensor Microphysiometer is described. Platinum electrodes are inserted into the standard Cy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e5a41cef3ee1941cb97e9ef676ac2adf
https://pubmed.ncbi.nlm.nih.gov/15923686
https://pubmed.ncbi.nlm.nih.gov/15923686
Autor:
Sven E. Eklund
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783540001249
SBIA
SBIA
In this paper we empirically determine the settings of the most important parameters for the parallel diffusion model. These parameters are the selection algorithm, the neighbourhood shape and the neighbourhood size.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5738399ada90f5081b8ef0ed67f9f44a
https://doi.org/10.1007/3-540-36127-8_18
https://doi.org/10.1007/3-540-36127-8_18
Autor:
Sven E. Eklund
Publikováno v:
Evolvable Systems: From Biology to Hardware ISBN: 9783540426714
ICES
ICES
Over the last decades Genetic Algorithms (GA) and Genetic Programming (GP) have proven to be efficient tools for a wide range of applications. However, in order to solve human-competitive problems they require large amounts of computational power, pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6eb3018411a2814c3a0d9c99eec5cb5
https://doi.org/10.1007/3-540-45443-8_19
https://doi.org/10.1007/3-540-45443-8_19