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Search Publications by: Zachary Grey (Fed)

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Displaying 1 - 7 of 7

Explainable Binary Classification of Separable Shape Ensembles

September 6, 2026
Author(s)
Zachary Grey, Nicholas Fisher, Andrew Glaws
Scientists, engineers, biologists, and technology specialists universally leverage image segmentation to extract shape ensembles containing many thousands of curves representing patterns in observations and measurements. These large curve ensembles

G2Aero: A Python package for separable shape tensors

September 20, 2023
Author(s)
Olga Doronina, Zachary J. Grey, Andrew Glaws
G2Aero is a Python package for the design and deformation of discrete planar curves and tubular surfaces using a geometric data-driven approach. G2Aero utilizes a topology of product manifolds: the Grassmannian---the set of 2-dimensional subspaces in Rn--

Separable Shape Tensors for Aerodynamic Design

January 31, 2023
Author(s)
Zachary J. Grey, Andrew Glaws, Olga Doronina
Airfoil shape design is a classical problem in engineering and manufacturing. In this work, we combine principled physics-based considerations for the shape design problem with modern computational techniques using a data-driven approach. Modern and

Bi-Criteria Radio Spectrum Sharing with Subspace-Based Pareto Tracing

March 22, 2022
Author(s)
Zachary J. Grey, Susanna Mosleh, Jake Rezac, Yao Ma, Jason Coder, Andrew Dienstfrey
Radio spectrum is a scarce resource. To meet demands, new wireless technologies must operate in shared spectrum over unlicensed bands (coexist). We consider coexistence of Long-Term Evolution (LTE) License-Assisted Access (LAA) with incumbent Wi-Fi systems

Grassmannian Shape Representations for Aerodynamic Applications

February 28, 2022
Author(s)
Olga Doronina, Zachary J. Grey, Andrew Glaws
Airfoil shape design is a classical problem in engineering and manufacturing. Our motivation is to combine principled physics-based considerations for the shape design problem with modern computational techniques informed by a data-driven approach

Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing

August 6, 2021
Author(s)
Zachary Grey, Susanna Mosleh, Angela Folz, Yao Ma, Jason Coder, Andrew Dienstfrey
In order to meet the ever-growing demands of data throughput for forthcoming and deployed wireless networks, new wireless technologies like Long-Term Evolution License-Assisted Access (LTE-LAA) operate in shared and unlicensed bands. However, the LAA
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