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2020 – today
- 2022
[i10]Bryn Noel Ubald, Pranay Seshadri, Andrew B. Duncan:
Density Estimation from Schlieren Images through Machine Learning. CoRR abs/2201.05233 (2022)- [i9]Chun Yui Wong, Pranay Seshadri, Andrew B. Duncan, Ashley Scillitoe, Geoffrey T. Parks:
Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations. CoRR abs/2203.03508 (2022) - 2021
- [j5]Ashley Scillitoe
, Pranay Seshadri, Mark Girolami:
Uncertainty quantification for data-driven turbulence modelling with Mondrian forests. J. Comput. Phys. 430: 110116 (2021) - [j4]Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks:
Extremum sensitivity analysis with polynomial Monte Carlo filtering. Reliab. Eng. Syst. Saf. 212: 107609 (2021) - [i8]Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks:
Automatic Borescope Damage Assessments for Gas Turbine Blades via Deep Learning. CoRR abs/2103.05430 (2021) - [i7]Slawomir Konrad Tadeja, Krzysztof Kutt, Yupu Lu, Pranay Seshadri, Grzegorz J. Nalepa, Per Ola Kristensson:
Jarvis for Aeroengine Analytics: A Speech Enhanced Virtual Reality Demonstrator Based on Mining Knowledge Databases. CoRR abs/2107.13403 (2021) - 2020
- [i6]Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Andrew B. Duncan, Geoffrey T. Parks:
Blade Envelopes Part I: Concept and Methodology. CoRR abs/2011.11636 (2020) - [i5]Pranay Seshadri, Andrew B. Duncan, George Thorne, Geoffrey T. Parks, Mark Girolami:
Bayesian Assessments of Aeroengine Performance. CoRR abs/2011.14698 (2020) - [i4]Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Bryn Noel Ubald, Andrew B. Duncan, Geoffrey T. Parks:
Blade Envelopes Part II: Multiple Objectives and Inverse Design. CoRR abs/2012.15579 (2020)
2010 – 2019
- 2019
- [j3]Pranay Seshadri, Henry Shaowu Yuchi, Geoffrey T. Parks:
Dimension Reduction via Gaussian Ridge Functions. SIAM/ASA J. Uncertain. Quantification 7(4): 1301-1322 (2019) - [i3]Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks, Mark A. Girolami:
Embedded Ridge Approximations: Constructing Ridge Approximations Over Localized Scalar Fields For Improved Simulation-Centric Dimension Reduction. CoRR abs/1907.07037 (2019) - [i2]Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks:
Extremum Global Sensitivity Analysis with Least Squares Polynomials and their Ridges. CoRR abs/1907.08113 (2019) - [i1]Slawomir Konrad Tadeja, Pranay Seshadri, Per Ola Kristensson:
AeroVR: Immersive Visualization System for Aerospace Design. CoRR abs/1910.09800 (2019) - 2017
- [j2]Pranay Seshadri, Geoffrey T. Parks:
Effective-Quadratures (EQ): Polynomials for Computational Engineering Studies. J. Open Source Softw. 2(11): 166 (2017) - [j1]Pranay Seshadri, Akil Narayan, Sankaran Mahadevan:
Effectively Subsampled Quadratures for Least Squares Polynomial Approximations. SIAM/ASA J. Uncertain. Quantification 5(1): 1003-1023 (2017) - 2013
- [c1]Valerio Lattarulo, Pranay Seshadri, Geoffrey T. Parks:
Optimization of a supersonic airfoil using the multi-objective alliance algorithm. GECCO 2013: 1333-1340
Coauthor Index
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