Flight Demonstration and Model Validation of a Prototype Variable-Altitude Venus Aerobot.
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CoRR, 2024
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations.
Neurocomputing, 2021
Non-Dimensional Star-Identification.
Sensors, 2020
Deep Theory of Functional Connections: A New Method for Estimating the Solutions of Partial Differential Equations.
Mach. Learn. Knowl. Extr., 2020
Motivations and Preliminary Design for Mid-Air Deployment of a Science Rotorcraft on Mars.
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CoRR, 2020
The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations.
CoRR, 2020
Extreme Theory of Functional Connections: A Physics-Informed Neural Network Method for Solving Parametric Differential Equations.
CoRR, 2020
Random Sampling using k-vector.
CoRR, 2020
The n-dimensional k-vector and its application to orthogonal range searching.
CoRR, 2020
Least-squares Solutions of Eighth-order Boundary Value Problems using the Theory of Functional Connections.
CoRR, 2020
The <i>n</i>-dimensional <i>k</i>-vector and its application to orthogonal range searching.
Appl. Math. Comput., 2020
Analytically Embedding Differential Equation Constraints into Least Squares Support Vector Machines Using the Theory of Functional Connections.
Mach. Learn. Knowl. Extr., 2019
Random Sampling Using $k$k-Vector.
Comput. Sci. Eng., 2019
Deep ToC: A New Method for Estimating the Solutions of PDEs.
CoRR, 2018
Theory of Connections Applied to Support Vector Machines to Solve Differential Equations.
CoRR, 2018