3 citations · 5 across the 6 of their papers we have counts for
6 papers
Bayesian Tensor Regression for Neuroimaging Data
Zahra Naji, Montserrat Fuentes, Liangsuo Ma +1
Multidimensional array data, or tensors, arise naturally in neuroimaging and other high-dimensional applications. We propose a parsimonious Bayesian tensor regression model for stu…
Near-Optimal Nitrogen Recommendations for Precision Agriculture via Sequential Screening and Hierarchical Refinement
Sakshi Arya, Abdul-Nasah Soale, Hossein Moradi Rekabdarkolaee
Nitrogen fertilizer management plays a central role in balancing agricultural productivity and environmental sustainability, yet identifying optimal application strategies remains…
Computationally Efficient Spline-Based Modeling of DER Dynamics for Voltage Stability in Active Distribution Networks
Shadrack T. Asiedu, Tara Aryal, Zongjie Wang +2
The increasing integration of Distributed Energy Resources (DERs) into power systems necessitates the accurate representation of their dynamic behavior at the transmission level. T…
Leveraging Data-Driven Models for Accurate Analysis of Grid-Tied Smart Inverters Dynamics
Sunil Subedi, Nischal Guruwacharya, Bidur Poudel +6
The integration of power electronic converters (PECs) and distributed energy resources (DERs) in modern power systems has introduced dynamism and complexity. Accurate simulation be…
Automated Data-Driven Model Extraction and Validation of Inverter Dynamics with Grid Support Function
Sunil Subedi, Bidur Poudel, Pooja Aslami +4
This research focuses on the evolving dynamics of the power grid, where traditional synchronous generators are being replaced by non-synchronous power electronic converter (PEC)-in…
Dimension Reduction for Spatially Correlated Data: Spatial Predictor Envelope
Paul May, Hossein Moradi Rekabdarkolaee
Dimension reduction is an important tool for analyzing high-dimensional data. The predictor envelope is a method of dimension reduction for regression that assumes certain linear c…