Zobrazeno 1 - 10
of 1 032
pro vyhledávání: '"Sarkar Abhijit"'
Autor:
Dabiran, Nastaran, Robinson, Brandon, Sandhu, Rimple, Khalil, Mohammad, Poirel, Dominique, Sarkar, Abhijit
Neural networks (NNs) are primarily developed within the frequentist statistical framework. Nevertheless, frequentist NNs lack the capability to provide uncertainties in the predictions, and hence their robustness can not be adequately assessed. Conv
Externí odkaz:
http://arxiv.org/abs/2310.15614
Autor:
Robinson, Brandon, Bisaillon, Philippe, Edwards, Jodi D., Kendzerska, Tetyana, Khalil, Mohammad, Poirel, Dominique, Sarkar, Abhijit
We consider state and parameter estimation for compartmental models having both time-varying and time-invariant parameters. Though the described Bayesian computational framework is general, we look at a specific application to the susceptible-infecti
Externí odkaz:
http://arxiv.org/abs/2310.16169
Autor:
Dabiran, Nastaran, Robinson, Brandon, Sandhu, Rimple, Khalil, Mohammad, Pettit, Chris L., Poirel, Dominique, Sarkar, Abhijit
Sparse Bayesian learning (SBL) has been extensively utilized in data-driven modeling to combat the issue of overfitting. While SBL excels in linear-in-parameter models, its direct applicability is limited in models where observations possess nonlinea
Externí odkaz:
http://arxiv.org/abs/2310.14749
This article discusses the uncertainty quantification (UQ) for time-independent linear and nonlinear partial differential equation (PDE)-based systems with random model parameters carried out using sampling-free intrusive stochastic Galerkin method l
Externí odkaz:
http://arxiv.org/abs/2310.14649
Autor:
Thapa, Surendrabikram, Sarkar, Abhijit
This paper addresses the problem of sharing drivers' face videos for transportation research while adhering to proper ethical guidelines. The paper first gives an overview of the multitude of problems associated with sharing such data and then propos
Externí odkaz:
http://arxiv.org/abs/2306.02374
Publikováno v:
Journal of the Serbian Chemical Society, Vol 81, Iss 11, Pp 1283-1294 (2016)
In this study we investigated the effects of sodium pyruvate on the solution thermodynamics of glycine in terms of the solute-solute and solute-solvent interactions in aqueous solutions. Measured density and viscosity were used to derive apparent
Externí odkaz:
https://doaj.org/article/0ef69ba16f1c4621ae1e7644818bec30
Publikováno v:
Journal of the Serbian Chemical Society, Vol 78, Iss 9, Pp 1443-1460 (2013)
Densities and viscosities of the binary mixtures consisting of tetrahydrofuran (THF), 1,3-dioxolane (1,3-DO) and 1,4-dioxane (1,4-DO) with N,N-dimethylformamide (DMF) over the entire range of composition were measured at temperatures 298.15, 308.15 a
Externí odkaz:
https://doaj.org/article/1a637effd69941ff850e0a790f7361bc
Autor:
Sarkar Abhijit, Sinha Biswajit
Publikováno v:
Journal of the Serbian Chemical Society, Vol 78, Iss 8, Pp 1225-1240 (2013)
In this study we investigated the effects of tetrabutylammonium hydrogen sulphate (Bu4NHSO4) on the solute-solute and solute-solvent interactions in the aqueous solutions of nicotinic acid in terms of apparent molar volumes (φV), standard partial mo
Externí odkaz:
https://doaj.org/article/efb7c740dcde427580305b1ff66fd318
Zimmerman and Weissenburger's flutter margin method is widely used to estimate the aeroelastic coalescence flutter speed. In contrast to aeroelastic decay rates, the flutter margin exhibits monotonic decay with respect to airspeed redering it effecti
Externí odkaz:
http://arxiv.org/abs/2210.15667
Autor:
Sandhu, Rimple, Robinson, Brandon, Khalil, Mohammad, Pettit, Chris L., Poirel, Dominique, Sarkar, Abhijit
This paper investigates the applicability of a recently-proposed nonlinear sparse Bayesian learning (NSBL) algorithm to identify and estimate the complex aerodynamics of limit cycle oscillations. NSBL provides a semi-analytical framework for determin
Externí odkaz:
http://arxiv.org/abs/2210.11476