Zobrazeno 1 - 10
of 142
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
Publikováno v:
Advances in Engineering Software. 64:71-73
Publikováno v:
Serials Review. 35:218-227
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
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
Autor:
Jonathan D. Linton, Mark J. Embrechts
Publikováno v:
Technovation. 27:91-94
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
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
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