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Hae Young Noh

Stanford University

367 Panama St

Stanford, CA 94305

United States

  • Stanford University

SCHOLARLY PAPERS

4

DOWNLOADS

226

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Robust Piglet Nursing Behavior Monitoring Through Multi-Modal Fusion of Computer Vision and Ambient Floor Vibration

Number of pages: 24 Posted: 15 Oct 2024
Yiwen Dong, Zihao Song, Jesse Codling, Gary Rohrer, Jeremy Miles, Raj Sharma, Tami Brown-Brandl, Pei Zhang and Hae Young Noh
Stanford University, Stanford University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Nebraska-Lincoln, University of Nebraska-Lincoln, affiliation not provided to SSRN and Stanford University
Downloads 116 (613,149)

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Precision Livestock Farming, nursing, swine, vibration, Computer vision

2.

Mechanics-informed machine learning: A gray-box framework for pore-pressure denoising

Number of pages: 29 Posted: 03 Nov 2025
Lunshi Zhou, Ronaldo Borja, Jatin Aggarwal, Hae Young Noh, Nan-Chieh Chao, Jhe-Wei Lee, Chien-Hsin Lai and WeiCheng Lo
Stanford University, Stanford University, Stanford University, Stanford University, National Cheng Kung University, National Cheng Kung University, Ministry of Economic Affairs, Republic of China and National Cheng Kung University
Downloads 75 (852,604)

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Gray-box model, pore-water pressure, autoregression, Gaussian process regression, support vector regression

3.

Non-contact Mass Estimation of Static Objects on Kirchhoff–Love Plates via Active Vibration Sensing

Number of pages: 26 Posted: 21 Apr 2026
Yuyan Wu and Hae Young Noh
Stanford University and Stanford University
Downloads 35 (1,249,711)

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Structural Vibrations, Static Mass Estimation, Structural Dynamics, Plate Vibrations

4.

Automated Synchronization of Driving Data Using Vibration and Steering Events

MIT Center for Transportation & Logistics Research Paper No. 2016/007, Pattern Recognition Letters, volume 75, 2016[10.1016/j.patrec.2016.02.011]
Posted: 28 Apr 2025
Lex Fridman, Daniel E. Brown, William Angell, Irman Abdic, Bryan Reimer and Hae Young Noh
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and Stanford University

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Cross correlation, On-road driving data, Optical flow