Zobrazeno 1 - 10
of 302
pro vyhledávání: '"Mark J. Embrechts"'
Autor:
Ling Wang, Joshua Goldwag, Megan Bouyea, Jonathan Barra, Kailie Matteson, Niva Maharjan, Amina Eladdadi, Mark J. Embrechts, Xavier Intes, Uwe Kruger, Margarida Barroso
Publikováno v:
iScience, Vol 26, Iss 7, Pp 107229- (2023)
Summary: Genomics and proteomics have been central to identify tumor cell populations, but more accurate approaches to classify cell subtypes are still lacking. We propose a new methodology to accurately classify cancer cells based on their organelle
Externí odkaz:
https://doaj.org/article/17d2e068044a44cfb444625275b68a72
Publikováno v:
Control Engineering Practice. 121:105060
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6e4de80c819b707037f00b454ae67a9
https://doi.org/10.1016/j.conengprac.2021.105060
https://doi.org/10.1016/j.conengprac.2021.105060
Publikováno v:
Serials Review. 35:218-227
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::274c097567bf48ddefce973c08128e7d
https://doi.org/10.1080/00987913.2009.10765249
https://doi.org/10.1080/00987913.2009.10765249
Autor:
Mark J. Embrechts, Virapong Prachayasittikul, Thanakorn Naenna, Chartchalerm Isarankura-Na-Ayudhya, Tanawut Tantimongcolwat
Publikováno v:
Computers in Biology and Medicine. 38:817-825
Ischemic heart disease (IHD) is predominantly the leading cause of death worldwide. Early detection of IHD may effectively prevent severity and reduce mortality rate. Recently, magnetocardiography (MCG) has been developed for the detection of heart m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::620fb21cc1ed23265331fbca5f1672f0
https://doi.org/10.1016/j.compbiomed.2008.04.009
https://doi.org/10.1016/j.compbiomed.2008.04.009
Publikováno v:
Intelligent Data Analysis. 12:103-128
The effects of a currency crisis on a country's economy depend on non-linear relations among several variables that characterize the economic, financial, legal, and socio-political structure of the country at the onset of the crisis. We seek to deter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4194e4e72419343db873a55cb060c978
https://doi.org/10.3233/ida-2008-12107
https://doi.org/10.3233/ida-2008-12107
Autor:
Jonathan D. Linton, Mark J. Embrechts
Publikováno v:
Technovation. 27:91-94
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1973af1ee55536705f415125bf9db91a
https://doi.org/10.1016/j.technovation.2006.12.001
https://doi.org/10.1016/j.technovation.2006.12.001
Publikováno v:
IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews). 36:495-502
Two chromosome encoding methods are compared for finding solutions to the nondeterministic polynomial-time hard flexible bay facilities layout problem via genetic algorithm (GA). Both methods capitalize on the random key GA approach to produce chromo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fae3194a51a4a3c4b45712ef6e23315e
https://doi.org/10.1109/tsmcc.2006.875412
https://doi.org/10.1109/tsmcc.2006.875412
Publikováno v:
Advances in Engineering Software. 64:71-73
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aebf91c61a2792b29c52259648675569
https://doi.org/10.1016/j.advengsoft.2013.03.003
https://doi.org/10.1016/j.advengsoft.2013.03.003
Autor:
Mark J. Embrechts, S. Benedek
Publikováno v:
IEEE Transactions on Industrial Electronics. 51:686-693
Proper and rapid identification of malfunctions (transients) is of premier importance for the safe operation of nuclear power plants. Feedforward neural networks trained with the backpropagation (BP) algorithm are frequently applied to model simulate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae7e643e791f4a4d81b841bf3558988a
https://doi.org/10.1109/tie.2004.824874
https://doi.org/10.1109/tie.2004.824874
Publikováno v:
International Journal of Smart Engineering System Design. 5:225-239
This paper illustrates a data mining application using two-dimensional (2-D) neural network sensitivity analysis for gaining insight into data strip mining problems. Data strip mining refers to predictive data mining problems where there are a large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff7a93d0c21b6fe00bee5a051d6e400b
https://doi.org/10.1080/10255810390245555
https://doi.org/10.1080/10255810390245555