13 citations · 45 across the 18 of their papers we have counts for
19 papers
Proximal Gradient-based Low Rank Tensor Decomposition for State Dependent Riccati Equation
Jiahua Jiang, Carmeliza Navasca
We address the optimal control problems arising from partial differential equations with large discrete dimensional control systems. To obtain reduced order models, we find basis e…
Leveraging Advanced Machine Learning to Predict Turbulence Dynamics from Temperature Observations at an Experimental Prescribed Fire
Dipak Dulal, Joseph J. Charney, Michael R. Gallagher +3
This study explores the potential for predicting turbulent kinetic energy (TKE) from more readily acquired temperature data using temperature profiles and turbulence data collected…
Modified Levenberg-Marquardt Algorithm For Tensor CP Decomposition in Image Compression
Ramin Goudarzi Karim, Dipak Dulal, Carmeliza Navasca
This paper explores a new version of the Levenberg-Marquardt algorithm used for Tensor Canonical Polyadic (CP) decomposition with an emphasis on image compression and reconstructio…
Exploring and Analyzing Wildland Fire Data Via Machine Learning Techniques
Dipak Dulal, Joseph J. Charney, Michael Gallagher +2
This research project investigated the correlation between a 10 Hz time series of thermocouple temperatures and turbulent kinetic energy (TKE) computed from wind speeds collected f…
Covid-19 Analysis Using Tensor Methods
Dipak Dulal, Ramin Goudarzi Karim, Carmeliza Navasca
In this paper, we use tensor models to analyze Covid-19 pandemic data. First, we use tensor models, canonical polyadic and higher-order Tucker decompositions, to extract patterns o…
Tensor Deblurring and Denoising Using Total Variation
Fatoumata Sanogo, Carmeliza Navasca, Stefan Kindermann
We consider denoising and deblurring problems for tensors. While images can be discretized as matrices, the analogous procedure for color images or videos leads to a tensor formula…