Skip navigation

Browsing by Author Prasad A.K.

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 20 of 36  next >
Issue DateTitleAuthor(s)
2017A novel dimension fusion based polynomial chaos approach for mixed aleatory-epistemic uncertainty quantification of carbon nanotube interconnectsPrasad A.K.; Roy S.
2017A novel dimension fusion based polynomial chaos approach for mixed aleatory-epistemic uncertainty quantification of carbon nanotube interconnectsPrasad A.K.; Roy, Sourajeet
2016Accurate polynomial chaos expansion for variability analysis using optimal design of experimentsPrasad A.K.; Ahadi M.; Thakur B.S.; Roy S.
2016Accurate polynomial chaos expansion for variability analysis using optimal design of experimentsPrasad A.K.; Ahadi M.; Thakur B.S.; Roy, Sourajeet
2017Accurate Reduced Dimensional Polynomial Chaos for Efficient Uncertainty Quantification of Microwave/RF NetworksPrasad A.K.; Roy, Sourajeet
2018Analysis of a polynomial chaos-kriging metamodel for uncertainty quantification in aerospace applicationsWeinmeister J.; Xie N.; Gao X.; Prasad A.K.; Roy S.
2018Analysis of a polynomial chaos-kriging metamodel for uncertainty quantification in aerospace applicationsWeinmeister J.; Xie N.; Gao X.; Prasad A.K.; Roy, Sourajeet
2017Analyzing impact of epistemic uncertainty in high-speed circuit simulation using fuzzy variables and global polynomial chaos surrogatesKapse I.; Prasad A.K.; Roy S.
2017Analyzing impact of epistemic uncertainty in high-speed circuit simulation using fuzzy variables and global polynomial chaos surrogatesKapse I.; Prasad A.K.; Roy, Sourajeet
2017Combining a reduced polynomial chaos expansion approach with universal Kriging for uncertainty quantificationWeinmeister J.; Xie N.; Gao X.; Prasad A.K.; Roy S.
2017Combining a reduced polynomial chaos expansion approach with universal Kriging for uncertainty quantificationWeinmeister J.; Xie N.; Gao X.; Prasad A.K.; Roy, Sourajeet
2011Design modifications for energy conservation of sponge iron plantsPrasad A.K.; Prasad R.K.; Khanam, Shabina
2011Development of energy conservations scenarios for sponge iron industry using process integrationPrasad A.K.; Prasad R.K.; Khanam, Shabina
2016Fast uncertainty quantification in engine nacelle inlet design using a reduced dimensional polynomial Chaos approachGao X.; Wang Y.; Spotts N.; Xie N.; Roy S.; Prasad A.K.
2016Fast uncertainty quantification in engine nacelle inlet design using a reduced dimensional polynomial Chaos approachGao X.; Wang Y.; Spotts N.; Xie N.; Roy, Sourajeet; Prasad A.K.
2016Generalized anisotropic polynomial chaos approach for expedited statistical analysis of nonlinear radio-frequency (RF) circuitsKapse I.; Prasad A.K.; Roy S.
2016Generalized anisotropic polynomial chaos approach for expedited statistical analysis of nonlinear radio-frequency (RF) circuitsKapse I.; Prasad A.K.; Roy, Sourajeet
2011Generation of energy conservation measures for sponge iron plantsPrasad A.K.; Kumar V.; Khanam, Shabina
2015Global sensitivity based dimension reduction for fast variability analysis of nonlinear circuitsPrasad A.K.; Roy S.
2015Global sensitivity based dimension reduction for fast variability analysis of nonlinear circuitsPrasad A.K.; Roy, Sourajeet