All Outputs (3)

A geometric approach to visualization of variability in functional data (2016)
Journal Article
Xie, W., Kurtek, S., Bharath, K., & Sun, Y. (in press). A geometric approach to visualization of variability in functional data. Journal of the American Statistical Association, 112(519), https://doi.org/10.1080/01621459.2016.1256813

We propose a new method for the construction and visualization of boxplot-type displays for functional data. We use a recent functional data analysis framework, based on a representation of functions called square-root slope functions, to decompose o... Read More about A geometric approach to visualization of variability in functional data.

Parametric investigation of a non-constant cross sectional area air to air heat exchanger (2016)
Journal Article
Cárdenas, B., Garvey, S., Kantharaj, B., & Simpson, M. (2017). Parametric investigation of a non-constant cross sectional area air to air heat exchanger. Applied Thermal Engineering, 113, https://doi.org/10.1016/j.applthermaleng.2016.10.209

The present article addresses the design, mathematical modelling and analysis of a novel highly exergy-efficient air to air heat exchanger. An intricate design based on an hexagonal mesh is proposed for the cross-sectional area of the heat exchanger... Read More about Parametric investigation of a non-constant cross sectional area air to air heat exchanger.

DEMARCATE: density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer (2016)
Journal Article
Saha, A., Banerjee, S., Kurtek, S., Narang, S., Lee, J., Rao, G., …Baladandayuthapani, V. (in press). DEMARCATE: density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer. NeuroImage: Clinical, 12, https://doi.org/10.1016/j.nicl.2016.05.012

Tumor heterogeneity is a crucial area of cancer research wherein inter- and intra-tumor differences are investigated to assess and monitor disease development and progression, especially in cancer. The proliferation of imaging and linked genomic data... Read More about DEMARCATE: density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer.