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Tushar Gautam

University of Utah

1645 E. Campus Center

Salt Lake City, UT 84112

United States

SCHOLARLY PAPERS

3

DOWNLOADS

112

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Developing Robust Stress Intensity Factor Models Using Fourier-Based Data Analysis to Guide Machine Learning Method Selection and Training

Number of pages: 32 Posted: 22 Apr 2025
University of Utah, Sandia National Laboratories, University of Utah - School of Computing, University of Utah - School of Computing and Scientific Computing and Imaging Institute and Wright Patterson Air Force Base - Air Force Research Laboratory
Downloads 57 (1,000,027)

Abstract:

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Deep operator network, neural network, support vector machine regression, random forest regression, Fourier transform

2.

Developing Robust Stress Intensity Factor Models Using Machine Learning: Error Sensitivity to Data Quantity, Quality, and Hyperparameter Selection

Number of pages: 26 Posted: 05 Jul 2024
University of Utah, Sandia National Laboratories, University of Utah - School of Computing, Wright Patterson Air Force Base - Air Force Research Laboratory and University of Utah - School of Computing and Scientific Computing and Imaging Institute
Downloads 35 (1,249,711)

Abstract:

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Neural-network support-vector-machine random-forest-regression semi-elliptical-surface-crack

3.

Using residual analysis to characterize and control the impact of noisy data on stress intensity factor models from machine learning

Number of pages: 35 Posted: 03 Feb 2026
University of Utah, Sandia National Laboratories, affiliation not provided to SSRN, University of Utah - School of Computing and Scientific Computing and Imaging Institute and Wright Patterson Air Force Base - Air Force Research Laboratory
Downloads 20 (1,459,862)

Abstract:

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machine learning, stress intensity factors, residual analysis, kernel density estimation, noisy datasets